computer science projects reddit

code.Antrikshy | Notes, tinkerings, experiments

How i got started with programming side projects.

Like most of the other students in the computer science program at UC San Diego, I went through a couple of years simply coasting through classes. I had never been good nor bad academically, and my GPA was fairly average. I was enjoying programming classes, with their deliciously challenging assignments; calculus, not so much.

In this non-technical blog post (for a change), I would like to walk through my experience with my open-source projects. Projects which later helped me out immensely in getting internships (including one at Amazon, which turned into a full-time offer).

If you are a current or prospective CS student, hopefully you will leave with some inspiration.

EDIT: This post got very popular after I shared it on a few subreddits. There is a lot of interesting followup discussion on /r/compsci , /r/cscareerquestions and /r/programming that you may find interesting.

If you enjoy this post, follow me on Twitter !

Practical Experience, Please

It wasn’t until three years in university that I realized that there is a disconnect between computer science and practical programming and software development. I’ve been over this previously .

Over time, I felt a lack of practical programming lessons in my computer science courses. I was passively waiting to be taught things like web design and mobile app development . The fact that I was unable to visualize a software stack for the simplest of ideas made the whole experience feel unfulfilling.

I have also seen several discussions about this on /r/cscareerquestions , which leads me to believe there are many students who feel the same way about the lack of practical university computer science courses. Over time, I understood that courses were deliberately designed to teach us how to think in terms of problems and solutions rather than revolving around programming languages and software architecture.

Back in the day, I hadn’t fully realized how much pet projects would broaden my job prospects. From various on-campus tech talks and employee panels, I had learned that having side projects was anecdotally helpful in finding jobs. There was some buzz among students about how a portfolio of side projects could eliminate the need for a decent GPA . I was slightly skeptical of this.

Stepping Stones

The summer break after my second year was when I gathered momentum. That was when I started my adventure in the world of open-source software. Still, I placed too much importance in knowing more programming languages. This sentiment would change with time, but it didn’t hurt. So far, I had worked with Java, C and C++ in course-assigned projects. I had also dabbled a bit with Python on Codecademy and through a simple Reddit bot project previously.

I decided to go out and teach myself more programming languages over the summer break so I could make my resume appear more substantial.

I focused on JavaScript and Python, and a little bit of PHP. I’m glad I kept my dreams limited in scope and worked on tiny projects. I made safcat , x-poster and RecoverTabs , which were all Safari extensions that fulfilled some of my wants. RecoverTabs became my first popular project on GitHub; it added Cmd+Shift+T functionality to Safari, which all other browsers ship with, while Safari comes with sort of half-baked functionality.

After some deliberation, I decided to teach myself web design. I wrote a personal website from scratch (not this one). I didn’t know UI frameworks like Bootstrap existed, so I dove in head-first and made something from nothing, which felt extremely satisfying in the end.

While I was unsure of this at first, my web design experience has come into a surprising amount of use even as a backend engineer. It’s always nice to be the one person who happens to know front-end when no one else wants to touch it. Eventually, it pushed me down the web (backend) development road professionally and on the side, as opposed to mobile app development and other things.

Even as I learn more things, web design remains one of my favorite hobbies, as I find it very relaxing.

In my opinion, web development is one of the easier paths to take if you want to start a portfolio of side projects as a student. This is because the design component is much simpler than learning to design mobile app UIs while learning the other fundamentals. Web design will give you immediate feedback as you work, which feels highly encouraging as a newbie.

Year Of Projects

I didn’t stop working on pet projects after the break.

After I had my front-end skills down, I focused more on backend frameworks such as Express.js and Flask (sidebar: both of these are amazing places to start with web apps), confident that if I came up with a nice idea, I would not have to depend on someone else to design the UI. I could finish and ship it myself.

Now that I had the ball rolling, I worked compulsively. I churned out a Node.js API wrapper , a desktop utility using NW.js , and even designed a CSS theme for a subreddit I moderate.

During my third year of university, I dedicated hours on end to side projects, simply because it was so much fun to me. This often dug into not only gaming time, but also time I would have spent studying for classes. Looking back, I don’t regret it at all.

The experience I received from my personal projects was invaluable . No university class would make up for it.

Now that I had a shiny (and growing) portfolio on GitHub, I got accepted for an internship with Learning Equality , a non-profit software team based on the UC San Diego campus. This internship gave me my first taste of “real-world” software engineering. I even remember that my interviewer called me a “strong candidate” during our brief meeting.

During this time, I was applying everywhere for a summer internship. For a brief time, I was nervous that I wouldn’t find anything because of my less-than-stellar GPA of 2.96. After several phone screens and online challenges with a variety of companies, I got invited to an on-campus interview session with Amazon. Not expecting much to come out of it, I accepted, interviewed, and ended up getting the job.

This Amazon internship would later turn into a full-time position after graduation (I later graduated 3.07 GPA). I was ecstatic.

Even after securing the Amazon internship, I continued making stuff. Most notably, Quibbler .

A rich portfolio will only help later.

Newbie Pitfalls

Now let me list some common missteps I have seen beginners take with personal projects. Some of these may be controversial, but these are simply my opinions, which come from both experience and first-hand observation. Feel free to take all of these with a grain of salt, as my experience will not apply to the everyone.

Be Open-Source By Design

When I conceive an idea for a project, I do some planning beforehand, which includes:

• Finding the best practices for my language/framework of choice.
• Picking the right stack for the job.
• Planning out deployment and update mechanisms.

There’s more to programming than just programming. Your classes probably don’t focus on how software is deployed or distributed and later maintained through updates.

When working on a project, it’s a good idea to plan these things out beforehand. Think about how your web app will run on a server, or how your desktop app will fetch updates and how you will deliver them. This will help with the implementation itself. Since you will not be on a tight schedule, you can take as much time as you must follow all the best practices possible. Technical debt is not an option.

Being open-source by design also means writing code that:

• Is presentable in a repository on the web, with sufficient documentation.
• Can be read, interpreted, and improved by other programmers.
• You are not ashamed to put on the web.

This is a great way of enforcing good coding habits on yourself. Practice software engineering, not just programming.

Additionally, it’s nice to show off your code to prospective employers .

Start Small

Don’t be afraid of your projects being too small or insignificant . List them all on your portfolio anyway.

In fact, I suggest intentionally picking small projects. Smaller projects are easier to finish and maintain . Focus on just what you need in order to pick up specific skills. Don’t start working on the next big social network or the definitive find-a-study-buddy app. Some ideas do not sound as daunting as they should.

Getting started with JavaScript? Make a browser extension. Want to pick up Python? Make a small command line utility and publish it . Sometimes, even deployment is its own challenge.

Especially as a beginner, fill your portfolio with bit-sized (heh) projects. You will soon get a feel for what is achievable (without burning out) and what isn’t.

Try Being A Lone Wolf

Do not get hung up on starting projects just because you don’t have people to work with.

While working together on side projects can be beneficial, I barely ever did it myself. Practicing software architecture, debugging and solving problems alone is incredibly helpful.

When picking partners, consider skills and motivation. If you have people who are on the same page as you, go for it! If this is not the case, you may fall into a laziness cycle. Side projects are already extra work. The project will be hard to get off the ground. Everyone will offload hard work onto others. A lot of time will be spent waiting for others to finish their bits. Group members who have more experience will be forced to lag behind, which will be a waste of their time.

Working alone means you can set your own time aside to work. Because you have no one to offload work to, you end up learning all the parts involved. You face more problems and possible dead-ends to figure out on your own, which means more learning.

Either way, I am of the opinion that you should try making something on your own at some point .

Understand Software Maintenance

Designing for the open-source community also comes with responsibilities. Over time, you will (and should) start getting acquainted with open-source culture . You should bear in mind that you are the owner and maintainer of any open-source project you put on the web. If people find your project interesting, they may interact with it, leaving suggestions or contributing changes. You are expected to be appropriately receptive to them. So don’t abandon your projects after version 1.0.0.

It is good practice to actively maintain any software in general. Even if your software is not open-source, but has a lot of users, it’s a good idea to not let it go stale. Users may expect new features from time to time.

Maintenance does not stop there. Be aware of all the costs you may face even after you finish a project . Building an iOS app to distribute on the App Store means paying $99/year for a developer membership. If you get into web design like me, you may have to pay for server time to keep your projects afloat and viewable by potential employers (who likes dead links on a portfolio?). If you plan to experiment with Amazon Web Services, be doubly sure to estimate the costs beforehand. While some of their products can be used for free or at minimal cost, some are only cost-effective when used at scale.

Say No To Canned Textbook Projects

This very much comes down to personal preference, but I don’t like to learn programming through textbooks. I absolutely refuse to program something that was designed as a textbook exercise . While some people may find textbooks and online tutorials to be a good starting point for languages and frameworks (I have used Codecademy a lot in the past), there are some things that are simply missing from them.

• They seldom represent what real-life development with that technology is like.
• They don’t involve the challenges that you will often face in practice.

I have found that I learn better by just making real, useful things. It’s very hard to come up with original ideas; so don’t think that you’re alone in that. Yet, it’s what I find to be the best way to stay motivated with a project.

In general, I only build things that have never been built before. It’s new-idea-or-bust for me.

Don’t Get Frustrated

It’s very easy to hit a brick wall in your project and get frustrated. Depending on your university, college or school, you may have tutors or teaching assistants to help out with brick walls in course-assigned projects. You don’t have that luxury in your own projects.

Brick walls are not invincible, though. The good thing is, you have all the time and freedom to seek help online. Asking for help is not something to be ashamed of.

Every time you get stuck, you gain valuable experience . Sometimes you will run into dependency-based problems whose solutions are entirely out of your reach, and your project will get stuck in limbo. This is still experience gained.

Remember: You won’t have tutors to help out with your code when you start working either.

If nothing else, every failed programming project will help you build mental resilience against the crushing disappointment.

Finish Your Projects

Lastly, you should strive to finish and ship at least one stable version of every project . Do not build a GitHub portfolio consisting entirely of 20 different forks and stubs of ideas that never went anywhere. It does not look nice. Employers like to see a portfolio which shows that you are competent and confident enough to ship things. Properly packaging, distributing, maintaining and updating apps, web apps and services is not easy, and is a skill of its own.

BONUS: Show Your Projects Off

Reddit user /u/k3q3 brought up a very good point in a response to this post. You should definitely show your projects off prominently, at the top of your resume , especially if you don’t have any work experience. Your projects will make you more employable than pretty much anything else (courses, grades, GPA) that you could put above the fold on your resume, except relevant work experience.

Where Do Ideas Come From?

So far, I have mentioned that I don’t work with partners, I don’t do canned programs from textbooks, and I only make new and original software. Where do I get these ideas from?

If you look through my projects , you’ll see that most of them are far from groundbreaking. That’s the thing. Your projects don’t have to be world-changing at all. And while it’s not the simplest job - coming up with new ideas - you can get inspiration from what others do.

If you are an inexperienced programmer in school or university, here are a few ideas (which fit all my criteria) to spark your imagination:

• Design a personal portfolio website (example: this one).
• Build a browser extension that makes your life simpler ( example ).
• Make a wrapper library around an API using a language of your choice. The world can always use more API wrappers ( example ).
• Build a command line utility that makes your life easier ( example ).
• Design some sort of framework (design or otherwise) for others to build their own projects on top of ( example ).
• Get a Raspberry Pi, set up Arch Linux, make it accessible over the web via SSH, connect sensors to it and monitor your room temperature and other things. Even if there isn’t much programming involved, there’s a lot to learn here.
• Create a Reddit bot! Fulfill someone’s request on /r/RequestABot , and look at /r/botwatch for help and inspiration.

The important thing to do first is to get your ball rolling. As you work on software projects, you will inevitably find cool things on GitHub that inspire you . Keep an eye out for what other people do, and try to incorporate those things into your own projects. As a web design hobbyist, I am always on the lookout for interesting approaches to breadcrumb navigation, single-page web apps and other UX elements. If you like designing mobile apps, browse the app store of your choice and find inspiration. Search for languages and technologies of your choice on GitHub to see what others are up to.

And be sure to interact with other developers you find along the way. Build software that complements others’ work.

Good luck out there!

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Streaming direct put firehose records into s3 with newline characters 28 oct 2023, 2023 mcu rewatch diary - phase three 22 oct 2023, my mid 2023 red + white gaming pc build 26 aug 2023.

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10 Best Computer Science Projects To Hone Your Skills

Computer science is that branch of science, which deals with the study, development, and maintenance of computers and computer systems. It is also a diverse field that is the superset of data science, information technology, networking, programming, web development, and a galore of other full-fledged research and interest areas.

The ongoing COVID-19 outbreak has disrupted the traditional way of pursuing education. As such, more and more people prefer to enroll online for distant and virtual modes of learning; if you’re also looking for a suitable computer science degree that you can complete without going out, check out these best online computer science degree programs .

Learning computer science demands developing and building a lot of skills. What could be better than a project to learn - and/or assess your ability that you’ve developed up until now in - computer science! Now, where to get the best computer science projects? Right here! But wait?

Still thinking, “why I need a computer science project to learn/assess my ability in the same?” Let’s answer that first:

• Computer Science Projects - Stepping Stones For A Better, Rewarding Future

Students often tumble over the question of what benefit they will get by working and developing projects in computer science, data science, or programming.

Also, if they are also, somehow, bothered thinking why they should give their best when working on computer science projects, then don’t worry because we are going to make things clear.

Most computer science courses' curriculum focuses on developing various skills, namely web development, programming, data analysis, content management, and more, but the implementation of these skills is something that students have to take care of themselves.

By working on a computer science project, candidates can also carve an opportunity for themselves to implement and test what they have learned. They can develop multiple computer science projects during the process and add them later to their portfolio, which will eventually help them land a good job, or, maybe, champion a college major or some specialization.

So, if anyone wants their future as an IT professional to be bright, they must work on one, or more, of the most popular computer science projects listed here. Much said already! Without wasting - any more - time, let’s get started with our pick of the top 10 computer science projects.

• 10 Best Computer Science Projects

1. Real-Time Weather Forecasting App

Type - Application Development, Programming, Web development Expected Time to Complete - 1 to 3 days Level - Beginner

Objective(s)

• To develop a web-based weather application that provides real-time weather information of a location, such as
• Current temperature, and
• Chances of precipitation.
• Also, it tells if it is going to be a sunny, cloudy, or rainy day ahead.

Project Overview

If you do not have any prior experience working on computer science projects, it’s better to get going with a project idea that is simple and effective.

The development of a weather application, which provides weather data for a particular location, would be a great way to test your coding skills.

To develop a weather application, all you need is the basic knowledge of the trifecta of web development, i.e., HTML, CSS, and Javascript. For creating a proper back-end of the app server in JavaScript, you will have to get familiar with Node.js and Express technologies.

It would be best to learn how to use API calls to get weather data from another website (like weatherstack.com) and display selective data right inside your webapp.

For the weather application’s UI, you need to conjure an input text box where users can enter the name of a location for which they wish to check the weather. As soon as the user hits the search button - most likely to be adjacent to the text box, but you are free to get creative as per your liking - the weather forecast for the entered location should be displayed.

Reference Free Projects @GitHub:

• Weather Forecast Android App
• Weather Forecast App

2. Basic Hospital Management System

Type - Application Development, Database Management, Programming Expected Time to Complete - 2 to 4 days Level - Beginner

• To develop a system that hospitals can use to digitize and manage their data, such as patient information, appointments, lab test results, patient diagnosis details, etc.

Developing a basic hospital management system is quite easy, even if you are a beginner. You can develop a functional hospital management system leveraging basic forms of HTML and CSS.

The developed system should get new data entries, store them, and let hospital officials and/or a system administrator(s) access and view data.

You need to design the hospital management system, so it automatically assigns a unique ID to each patient registered at the said hospital. Other than the patients, the system should also store information about the staff members, all in a local database.

When the database grows, it might become difficult for the hospital staff or the system administrator to find data related to a particular patient or staff member. So, it’ll be a good idea to add search functionality to make it easier to find specific details across hundreds - or even thousands - of stored records.

While you can use the local storage of the machine that runs the hospital management system, it is also possible to use a cloud database. Both have their distinct advantages over one another. You must figure them out on your own to make the project more challenging.

• Hospital Management
• Hospital Management System
• Sozer Hospital Management System

P.S. - Want more computer science projects focusing on HTML? Try these best HTML projects .

Related Course

Computer Science 101: Master the Theory Behind Programming

3. Optical Character Recognition (OCR) System

Type - Algorithm Design, Image Processing, Optical Recognition, Programming, System Development Expected Time to Complete - 4 to 6 days Level - Intermediate

• The optical character recognition (OCR) system should be able to process images and identify characters.
• Also, the system needs to give users the flexibility to search and manipulate the data.

To accomplish this project, you need to work with an algorithm that makes image recognition possible. This algorithm will enable the processing of images and search for characters in them.

Before working on the OCR system development, you must get a clear idea of how optical recognition technology works. Make sure that you build a good understanding of all the underlying concepts beforehand.

The two most popular technologies to develop a character recognition system are Python and MATLAB. It is advisable to select that particular technology which you want to use more frequently in the future.

While planning the project development work, you may need to set some accuracy level for your OCR system to achieve at the end of the project. Remember, the more accurate your OCR system in processing and identifying the characters in an image, the better.

• Tesseract OCR

4. News Feed Application

Type - Application Designing, Application Development, Programming Expected Time to Complete - 3 to 6 days Level - Intermediate

• Development of an online news feed application that gives users access to the latest news and events.
• The application should also be capable of fetching and displaying local as well as global news.

Building a news feed application is a great way to boost your app development skills as a computer science student. You can either create a web-based news feed application that runs inside browsers or a dedicated mobile app for smartphone users or both; the choice is completely yours.

The biggest challenge you need to tackle while developing the news app is ensuring that the app loads in the minimal time while delivering robust performance. The app should be capable of handling multiple requests from different users at the same time without crashing.

To get the latest and trending news, you can use free news APIs offered by various providers, like Bloomberg , Guardian, and Financial Times. Just keep in mind that the freely-available news APIs offer a limited number of API calls on a daily or monthly basis.

You need to create the front-end and the back-end of the app and thus require both front-end and back-end development technologies. The app can be easily created using any popular programming language, like JavaScript, Python, Java, etc.

• Making Headlines
• NewsFeed MVI Dagger

5. Library Management System

Type - Database Management, Database Manipulation, Programming, System Design, System Development Expected Time to Complete - 4 to 7 days Level - Intermediate

• The library management system should make it easier for library professionals to manage their day-to-day activities, such as
• Issuing books,
• Keeping a record of all the books issued, 
• The books that are available for borrowing et cetera.

Developing a library management system will help you become well-versed in database management and data manipulation. The library management system intends to bring automation and eliminate traditional paperwork.

To work on this project, you need to step-up your knowledge about database management (SQL and/or NoSQL database), UI design, and back-end logic development.

The library management system should allow students to create personal accounts that they can use to view the list of available books and initiate requests for issuing the same. Also, the system needs to have separate administrator access for library officials to update the availability of books, review book issue requests, and maintain a list of defaulters.

Additionally, it can also track the fine levied on unreturned or overdue books. It is also possible to add some more advanced features to the library management system, such as issuing ebooks and sending automated SMS notifications to students regarding the due dates for returning the books.

• A Library Management System with PHP and MySQL
• Library Management System
• Library Management System - Java
• LightLib Library Management System

6. Virtual Private Network

Type - Application Development, Data Security, Networking, Programming Expected Time to Complete - 5 to 8 days Level - Intermediate

• The project demands creating an application that allows users to convert their public network into a private network.
• The connection to the internet established using the VPN application will be encrypted, thus ensuring data exchange between the user and the server.

If you are interested in computer networks and the internet, creating a virtual private network (VPN) system would be something that is going to help you boost your knowledge and skills in this particular niche of computer science.

The VPN system proposed in this project will let users add a secure extension to their public networks. But first, you should know that there are two different approaches for creating a VPN, namely  IPSec (Internet Protocol Security) and SSL (Secure Socket Layer). Although both are good options, SSL is the better choice for developing a VPN.

The project will help you get familiar with various principles and technologies associated with computer networks such as authentication, public-key infrastructure (PKI), et cetera.

• Lethean VPN
• Neutron VPNaas
• Private Azure Kubernetes Service Cluster

7. e-Authentication System

Type - Authentication, Information Security, Programming, System Development Expected Time to Complete - 4 to 7 days Level - Intermediate

• In this project, the aim is to develop an e-Authentication system that uses QR code and One Time Password (OTP) to assess the user's authenticity.
• The e-Authentication system can be used to add an extra layer of security for users logging into their accounts on a website or application.

For any website or application where users can create and log in to their accounts, it is essential to rule out the possibility of unauthorized access. To accomplish the same, you can develop an e-Authentication system that uses QR code and OTP to ensure secure user login.

Once a user registers or creates an account on a website/app using a set of credentials, usually the email and password, the e-Authentication System will be put into work when the same user will log into their account.

After entering the email id and password for logging in, the user will then be asked to authenticate themselves using either a QR code or an OTP.

If the user selects and proceeds with the QR authentication method, a random QR code will be generated by the e-Authentication system and sent to the user’s registered email id. On the other hand, while opting for the OTP authentication method, the user will receive an OTP code on the registered email or phone number.

The user will only be logged into their account if they complete the authentication process initiated by the e-Authentication system.

• JWT (JSON Web Token Authentication for Laravel & Lumen)

8. Real-Time Web Search Engine

Type - AI, Machine Learning, Programming, Web Annotation Expected Time to Complete - 6 to 10 days Level - Master/Expert

• This project requires developing a web search engine that displays a list of web resources relevant to the user's search term.

If you have prior experience working on smaller or entry-level computer science projects and want to move a step further, then working on developing a web search engine is a good idea.

For crafting a search engine, you need to use web annotation to allow your search engine to access web pages and other online resources. Like a typical search engine, you need to provide a text box in which users can type their queries and hit the search button or hit enter to get relevant results.

The results displayed by the search engine needs to be arranged in the form of a list. Also, you can limit the number of search items displayed on a page to 10 or 15. This way, the search engine needs to have multiple search result pages.

For search suggestions and ensuring that the most relevant results are displayed, you can use AI and machine learning. However, incorporating such advanced technologies in your search engine will make the project more complex, more time-consuming, but yes, more fascinating too.

• RofiFtw (Rofi for the web)
• AskLawrence Search Engine & Screen
• Sociopedia Twitter Knowledge Engine
• Web Search Engine

9. Task Management Application

Type - Application Design, Application Development, Authentication, Database Management, Programming Expected Time to Complete - 5 to 9 days Level - Master/Expert

• To develop a dedicated task management app that allows users to
• Create personal profiles,
• Log in to their accounts securely with a proper authentication process,
• Add multiple tasks within the app,
• Manage multiple task lists, and
• Mark tasks as completed.

This is yet another project that will test your technical knowledge and coding skills to a greater extent. The task app needs to have an intuitive interface that will make it easier for users to interact with the app and manage their tasks.

The task app must allow users to create distinct accounts and start managing their everyday tasks effectively. A user's data should only be accessible to him/her, and an authentication system needs to be in place to safeguard the account from unauthorized access or accidental login.

As for the app, the user should add individual tasks or organize multiple tasks under a single task list. Also, the user should have the flexibility to create multiple task lists and manage several tasks altogether. Once completed, users can mark a task as completed.

For successfully developing the task, you need to have the knowledge and prior experience of working with full-stack development technologies such as MEAN stack (JavaScript) and LAMP stack.

• Pomo (Command-line application following the Pomodoro time management technique)
• Task Management Application using Vue.js

10. Chat App

Type - Application Development, Application Designing, Multi-thread Processing, Networking, Socket Programming Expected Time to Complete - 5 to 10 days Level - Master/Expert

• The project requires the development of a chat application that supports instant messaging.
• The chat app will allow users to create personal accounts from where they will send messages to other chat apps users.

The project is about developing a chat application using Python. Users can sign up to create their accounts and send instant text messages. The project largely focuses on utilizing concepts of socket programming and multi-thread processing.

The project is a little tricky to work with. You need to understand how sockets work and understand various principles related to computer networks.

You need to set up a server to handle user requests to connect and exchange messages in real-time. The chat app functionality can be extended by allowing users to exchange files along with normal text messages.

• Firebase Codelab: FriendlyChat
• WebSocket Chat
• Simple WebSockets Chat App

That wraps up our list of the best 10 computer science projects. Working on these projects will allow you to successfully prepare yourself for embarking on a professional journey in the lucrative field of computer science and IT or, at the very least, to assess your abilities in the same.

What’s important is that you gain something from these, which you will definitely, if you work on these computer science projects with pure dedication. If that’s done, then that fulfills the purpose of this write-up. Best of wishes! Stay safe, keep learning, and keep growing.

Computer science is a complex, interdisciplinary field of study. In addition to programming, web development, networking, et cetera, computer science succeeding also requires good mathematical abilities. Try these best computer science mathematics tutorials to enhance the same.

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12 Interesting Computer Science Project Ideas & Topics For Beginners [Latest 2023]

In this article, you will learn 12 Interesting Computer Science Project Ideas & Topics For Beginners (2023).

• Face detection
• Online auction system
• Evaluation of academic performance
• e-Authentication system
• Cursor movement on object motion
• Crime rate prediction
• Android battery saver system
• Symbol recognition
• Public news droid
• Search engine
• Online eBook maker
• Mobile wallet with merchant payment

Read the full article to know more.

Computer Science Project Ideas

Computer Science skills are a highly sought-after skillset in IT/ITeS and STEM-related job roles. Some of the most coveted Computer Science skills in the modern industry include coding, computation, data processing, network information security, web architecture, algorithm design, storage systems & management, and mobile development. Learning these skills opens up new and exciting employment opportunities in the present and future workforce. So, if you are a computer science beginner, the best thing you can do is work on some real-time computer science project ideas . Relevant projects not only improve your practical knowledge but also improves your resume. To gain more weight, consider our free courses developed to increase your skills in a short duration.

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We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. In this article, we will be exploring some interesting computer science project ideas which beginners can work on to put their Python knowledge to the test. In this article, you will find top computer science project ideas for beginners and mini-project topics for CSE 3rd year to get hands-on experience.

But first, let’s address the more pertinent question that must be lurking in your mind: why build computer science projects?

When it comes to careers in software development, it is a must for aspiring developers to work on their own projects. Developing real-world projects is the best way to hone your skills and materialize your theoretical knowledge into practical experience. But if you want to step up your game and learn real-life industry projects, assignments and case studies check out our Advanced Certificate Programme in DevOps where you can showcase your expertise and skills to potential employers using an e-portfolio.

You will need to acquaint yourself with new tools and technologies while working on a computer science project. The more you learn about cutting-edge development tools, environments, and libraries, the broader will be your scope for experimentation with your projects. The more you experiment with different computer science project ideas, and mini-project topics for CSE 3rd year, the more knowledge you gain.

Computer Science study encompasses programming , design, analysis, and theory. Hence, Computer Science project ideas involve designing and developing various application-based software products and solutions. So, if you wish to know about a few exciting Computer Science project ideas, this article is just what you need! But, if you want to accomplish more, and gain superiority, consider pursuing our Advanced Certificate Programme in Cyber Security designed for working professionals and provides 1:1 high-performance coaching.

Traditionally, different specialization fields opted for a theoretical and instructions-oriented approach. However, today, most job roles demand professionals who have hands-on industry experience. Computer Science is one such discipline where academic learning does not suffice – students need to undertake practical training through real-world Computer Science projects and assignments. It aims to impart students with practical knowledge of operating computer systems. 

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So, here are a few mini project ideas for cse for beginners:

Top 12 Computer Science Project Ideas

This list of computer science project ideas for students is suited for beginners, and those just starting out with Python or Data Science in general or final year project topics for computer engineering in diploma .  These computer science project ideas will get you going with all the practicalities you need to succeed in your career as a software developer.

Further, if you’re looking for computer science project ideas for the final year, this list should get you going. So, without further ado, let’s jump straight into some computer science project ideas that will strengthen your base and allow you to climb up the ladder.

1.  Face detection

It is of high importance and it serves various purposes in many fields. Most importantly, the technology of face detection has increased the surveillance efforts of the authorities. 

Face detection coupled with the technology of biometrics and security has helped to identify people’s faces which has resulted in various processes such as starting an app, security, or guiding what the next action steps of the application would be.

The technology of face detection uses facial algorithms to identify the reach of facial prints. The technology can adapt and recognize which facial features to detect and which ones to ignore.

One of the best mini project ideas for cse to start experimenting with your hands-on computer science projects for students is face detection software. This project focuses on building face detection software using the OpenCV library. The face detection program will be modeled in a way that it can detect faces in live stream videos from a webcam or video files stored in a PC’s local storage. The software uses pre-trained XML classifiers to detect faces in real time and track them. You can also use different classifiers to identify various objects through this detection program.

To run this program, you need to install the OpenCV library on your local machine. Also, it would be best if you created appropriate paths for the XML classifier files before executing the program. 

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2.  Online auction system

The online auction allows the users to procure the benefits of the auction from any geographical location. The sellers can showcase their products or services to buyers across the locations. This helps in wider reachability and a huge expansion of the business. 

Another useful feature of online auctions is the instant feedback feature that allows the bidders to track the price increase due to higher bidding. 

The bidders or buyers from across the globe can log in at any time of the day to track or bid. This way they do not lose out on the opportunity due to different geographical timelines.

In an online auction, buyers and sellers engage in transactional business, wherein buyers purchase items through price bidding. Here, the bids have a starting price and an ending time. Potential buyers who place the highest bidding price for an item are declared the winners and owners of particular items. 

In this project, you will create a secure online auction system using the fraud detection method with binary classification. If a user wants to buy a product through an online auction, they must provide their identification details like PAN number, email address, license number, etc. The system will then screen the users, authenticate, and authorize them. Only authorized users can bid in the auction. The system will be designed to predict fraudulent users in the early stages, thereby eliminating the risk of online fraud and scams. These beginner-level computer science projects will help build a strong foundation for fundamental programming concepts.

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3.  evaluation of academic performance.

Evaluation of academic performance allows the institutions to track the student’s performance. This not only helps in enhancing the student’s performance but also improves the teaching techniques and teacher’s performance.

The teachers could chart out teaching objectives that help them in achieving those objectives. This way, the teachers can adopt the successful pedagogy and ignore those pedagogies that do not add value to the student’s performance.

This is one of the most interesting mini project ideas for cse which involves the creation of an evaluation system that can analyze the academic performance of students by utilizing the fuzzy logic method. In the fuzzy logic method, you will consider three parameters, namely, attendance, internal marks, and external marks, to evaluate the final academic performance of students of an institution. The fuzzy inference system is much more accurate than conventional techniques.

While developing this Computer Science project, make sure that the student information uploaded is correct (devoid of errors). Faulty data entry may lead to inaccurate results. 

4.  e-Authentication system 

There are various types of authentication systems such as OTP, password, biometrics, etc.

The authentication system allows for a better user experience without having the need for multiple setups. It is also useful for tightening security. The enhanced security features pave the way for more number of users to adopt the technology.

The e-authentication has seen wider adaptability. It is used to access government services, transactional processes, online platforms, and more. The users can secure their identity with the means of an e-authentication system, thus providing scope for higher security.

This project focuses on building an e-Authentication system using a combination of QR code and OTP for enhanced security. The e-Authentication system is designed to avoid the hacking of accounts through shoulder surfing and misuse of login credentials. To be able to use the system, a user has to first register in the system by entering the basic registration details (name, address, zip code, etc.).

Once the registration is complete, the user can access the login module to authenticate the account by entering the email id and password combination they used during registration. Then, the user can proceed to the next authentication step using either of the two options – QR (Quick Response) code or OTP (Time Password). As per the option selected by the user, the system will generate a QR Code or an OTP. While the QR code will be sent to the user’s mail id, the OTP will be sent via SMS to the registered mobile number of the user. 

The system randomly generates the QR Code and OTP at the time of login. It makes the login more secure. However, to use this system, one always needs an active Internet connection.

5.  Cursor movement on object motion

This is a project where you will design a cursor that can move through the desktop and perform actions based on hand gestures. The system’s object movement will be based on RGB (red, green, and blue) colour – it can detect RGB colour objects that will function as the mouse. It would help if you imported the Java AWT library to coordinate with the cursor. The system setting uses a webcam to track the movement of the red, green, and blue objects and based on the object movement patterns, accordingly trigger an event. 

The cursor movement system will acquire a single frame from the video recorded by the webcam and flip the frame for the user to see. It converts the captured image into a binary image wherein the RGB objects will become white. The system further adds a bounding box around the object that the user can move throughout the display.  

6.  Crime rate prediction

There are various benefits attached to crime rate prediction, such as taking preventive measures, tracking the culprits, advanced decision-making processes, etc.

The methodology allows the decision-makers to predict the crime and perform law- enforcement measures to mitigate the repercussions.

This way, the stakeholders can provide satisfaction, increase their lifestyle experience and most importantly identify the negative externalities and take appropriate actions to curb them.

The stakeholders can allocate the budget based on the statistic, this helps in effective resource allocation. The concerned agencies can utilize their resources to better use. The crime prediction system helps in faster justice delivery and reduces crime rates. 

This is one of the most innovative mini project ideas for cse . As the name suggests, this Computer Science project involves building a prediction system that can analyze and predict the crime rate of a particular location. Naturally, the system needs to be fed with relevant data. It uses the K-means data mining algorithm to predict the crime rate. The K-means algorithm can cluster co-offenders and organized crime groups by detecting relevant crime patterns via hidden links, link prediction, and statistical analysis of crime data. 

It functions somewhat like this – the admin will feed the crime data into the system. The algorithm will analyze crime data stored in a database and extract information and patterns from it. It will then collate the crime groups based on the patterns found in the dataset. The clusters will be made based on factors like where the crime took place, which people were involved in the crime, and when the crime occurred. 

7.  Android battery saver system

The battery saver project is useful for the users to track the usage of the application. The users can track which of the applications are consuming the maximum energy. 

This way the users can optimize their application management. The optimization of the application can limit the application usage, and this end up limiting the battery. 

The battery saver in the mobile phone would also allow the users to procure the list of applications in one place, the consumption rate is also accurate. 

This is of a simple computer science project yet an exciting one. The Android battery saver is designed to analyze the battery usage data from built-in classes and create a consolidated list of apps that drain the power of the Android phone. The system can also determine the battery level of the phone. In situations where the battery level is low, and numerous apps are consuming too much power, this system will trigger an alarm telling the user to force stop or close the apps that are drawing power.

While the battery saver system has no backend, it uses Android Studio as the frontend. Since the system feeds on data from an Android phone, it does not need a backend framework. The primary aim of this battery saver system is to notify users of the apps that are high on power consumption, thereby allowing them to take specific actions to stop battery drainage. 

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8.  symbol recognition .

This is one of the excellent computer science project ideas for beginners. The proposed project seeks to build a system that can recognize symbols inserted by the user. This symbol recognition system leverages an image recognition algorithm to process images and identify symbols. First, the system converts RGB objects into grayscale images which are then further converted into black-and-white images. During the process, image processing is applied to remove unwanted objects and environmental interference. The system further uses optical character recognition for recognizing the images with 60-80% accuracy. This is one of the interesting computer science projects. 

In the system, all symbol templates will be stored in a specific directory. The size of each image is fixed to allow the easy recognition of the symbols with accuracy. The templates will remain in black-and-white form, and the system will create a dataset of these templates. When a user inputs a query image into the system, it will resize the query image, compare the resized image values against the template image values in the dataset, and finally display the result in text format. So, while the system takes inputs as images, it delivers output in a textual form.

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9.  Public news droid

There are various benefits to adopting the public news droid as one of the most effective  mini project ideas for cse , such as-

• Easy to navigate
• Instant updates 
• The users receive all the news, even if they are not trendy or hyped about it. 
• Accessible by the registered users
• Feature to report news if it is malicious, or irrelevant

This is one of the excellent computer science projects for beginners. The public news droid is an informative software application that informs users about the trending news, occurrences, and interesting events happening in and around their locality. Thus, the idea behind creating this information system is to keep the users informed about the happenings in their vicinity. The system uses Android Studio as the front end and SQL Server as the back end. 

The system involves two modules, one for the admin and one for the user. The admin monitors the accuracy and relevancy of news and information. For instance, if the admin encounters fake news or app misuse, they can take necessary action to stop the spread of such irrelevant information. On the contrary, users can view news and informative articles only of their respective localities/towns/cities, and they can add news related to any other city. Mentioning  computer science projects can help your resume look much more interesting than others.

To use the app, users need to register into the system to use this app and add all the necessary details. Once the registration process is successful, the user can see the latest news, refresh the app, browse for more information, add new information and upload it (within 450 words), and so on. Users can also add images and titles for the news they add. 

10.  Search engine 

The search engine is highly useful, it helps in bringing the visibility of the brand, target-based ads, brand awareness, performance management, increasing website traffic, and more. 

The brands can make their visibility grow by using proper keywords and using various other methodologies. Moreover, the brands can utilize the search engine to overcome the competition and grow their business. 

The more people are able to see the brand, the better its authenticity would be. It will eventually result in the revenue growth of the brand. 

This search engine is developed using web annotation. It is one of the trending computer science projects where when users enter specific words or phrases in a search engine, it automatically fetches the most relevant pages that contain those keywords. Web annotation makes it possible. Web annotation helps to make an application user-friendly. Thanks to web annotation, users can add, modify, and remove information from Web resources without altering the resource itself. 

This project uses web annotation on pages and images. When the user enters words, names, or phrases in the system, it will fetch the information and pictures having the same annotation. Then the system displays a list of results that contain the image or content matching the user input. For this search engine, you need to use an effective algorithm to generate a query result page/search result records based on users’ queries.

11.  Online eBook maker

One of the best ideas to start experimenting with your hands-on computer science projects for students is working on an online eBook maker. This online eBook maker will allow users to design and create eBooks free of cost. The system has two modules – admin login and author login. The admin can accept requests from users (authors), check and validate their details, evaluate completed eBooks, and process the request by mailing eBooks to the authors. Users can register in the system using the author login.

After filling in the necessary details, users can create new books, specify the context of books, add the title, and a number of pages, add a book cover, etc. Existing users can simply log in using their ID and password, and they can either create new books or resume editing the existing (unfinished) eBooks. Authors can keep only three incomplete eBooks at a time, of which they must complete at least one book before starting a new book. 

12.  Mobile wallet with merchant payment

There are various benefits attached to the mobile wallet, such as-

• Cashless payment
• The applications are protected with a password
• The QR code generation, allows the users to ensure safe transactions.
• The amount first gets stored to the merchant’s wallet, eventually reaching to their bank accounts.
• Reduces fraud detection

This can be an interesting and useful computer science project ideas. As you can guess by the name, this is a QR code scanning application designed for handling and facilitating liquid cash transactions between sellers (merchants) and consumers. The aim of building this app is to provide a secure, reliable, and efficient platform for monetary transactions on both ends. Each time, the system generates a unique QR code ID, and all passwords are encrypted using AES Encryption Algorithm. 

There are two parts of this application – an Android application for merchants that can scan the QR code and the other part for the consumer for generating the QR Code. The front end uses Android Studio, and the back end uses SQL Server. This system functions something like this – when merchants scan the QR code generated by the app, the desired amount is transferred into their wallet which is easily transferable into their bank accounts. As for the consumers, they need to add money to their wallets via their credit/debit cards linked to their bank accounts. They can save the card details for future use. Merchants can also change their personal and bank details. And this is the perfect idea for your next computer science project!

Check out: Java Project Ideas & Topics

Some Bonus A-Level Computer Science Project Ideas

Basic Hospital Management System

The hospital management system is useful for managing resources and operating the hospital effectively. The hospital management infrastructure is useful for managing patient details, infrastructure management, drugs management, dispensary, etc.

The staff trusts the hospital management application to run the day-to-day functions. Thus, technology becomes of high importance.

The health management system facilities in better decision-making and revenue management. Apart from serving the patients, the hospitals have to take care of the revenue for acquiring talented doctors and providing decent health facilities. 

This is a programming and database management app designed as a centralized system for hospitals to digitize and handle huge data ( like patient details, appointments made, results of lab tests, patient diagnosis information, etc.). This is one of the best computer science project ideas that can add value to your resume.  

Developing a hospital management system is easy for beginners. A functional and effective hospital management system can be created with a basic knowledge of HTML and CSS. 

The system should be able to receive new entries, store them safely, and enable hospital staff and system administrators to access, and use the data. 

You should develop the hospital management system in a way that should assign a unique ID to each patient registered at the hospital. The system must include all necessary details of hospital staff besides patients in a local database.  

When the data increases, it becomes challenging for the staff and hospital administrator to find the required data of a particular patient or staff. So, it is important to have search functionality to make the search process across thousands of data much easier.  

While it is enough to use the local storage to run the hospital management, you can also use a cloud database. Both of them have their pros and cons. You must leverage the advantages and disadvantages to make computer science topics more challenging and interesting. Check out this Github project for reference.

Real-time Weather Forecasting app

This is a beginner-level web development & programming app that will serve best as a mini-project topic for CSE third-year students or a final-year project for those pursuing diplomas in Computer science. The main objective of the app is to create a web-based weather application that can provide real-time weather details (like current temperature and chances of rain) of a particular location. The app can also predict if the day will be rainy, cloudy, or sunny.  

Developing a weather forecasting app is the best way to put your coding skills to the test. To create a weather forecasting app, you will need a stronghold on the basics of web development, HTML, CSS, and JavaScript. For providing the best backend performance, good knowledge of Node.js and express technologies is a must. 

It is important to know how to use API calls to scoop out weather information from other websites and display relevant information in your app.  

For the app’s best User Interface, you have to place an input text box in which the users can enter the location for which weather information is needed. As soon as the search button is hit, the weather forecast for the input location should pop out. Check out this Github project for reference.

It is an interesting app that involves application designing & development, multi-thread processing, socket programming, and networking.  

Such computer science topics aim at developing a chat application to facilitate instant messaging. Users can create personal accounts in the chat app from where messages can be sent to other chat app users. Check out this Github project for reference.

Tips For Beginners To Make Computer Science Projects More Innovative and Interesting:

While designing a computer science project, adopting creativity and making it more innovative may offer a rewarding experience for beginners. This may also draw significant attention to their capability and help them make a statement. Here are some tips that will assist beginners in infusing innovation into their mini project ideas for cse.

Explore More On Your Interests:

As the choice of the topic is one of the most important aspects for a beginner, it is essential to choose topics and ideas that genuinely interest an individual. Passion for a particular subject will drive your curiosity and boost motivation resulting in more innovative ideas.

Conduct Through Research:

Once you have chosen the topic, consider conducting in-depth research for securing a deep understanding of the existing technologies, solutions, and best practices for the project. This will help you to get significant insights into what has already been attempted before and how you can design a new approach to make it interesting. 

Ideate And Brainstorm:

Random thoughts sometimes form the basis of the development of an innovative idea. Therefore take out some time for brainstorming and pen down all your random thoughts. This will lead you towards more creative thinking and making new innovations.

Put Emphasis On Practical Solutions:

Look for ways to address the challenges in the real world as a computer science project dealing with practical solutions would be more valued and create an impact.

Take Baby Steps:

For beginners to make a topic more interesting, the best idea would be to adapt bay steps. Begin with a scope that seems manageable at first and expand on it later. Focusing on solving specific problems first, along with the implementation of particular features efficiently, would help in gaining confidence and skills. After this, one may expand more to enhance the quality of the project and make it more innovative.

Consider Collaboration With Others:

Teamwork often leads to innovative ideas and solutions. Entering into a collaboration with fellow beginners or individuals who have gained considerable experience may often give rise to fresh perspectives and diverse project ideas. 

Stay Updated With Market Trends:

Incorporation of the latest trends and advances in computer science projects will undoubtedly make it more interesting. Therefore it deems necessary to ensure acquaintance with the latest trends and advances in the oeuvre of computer science. Following blogs of the particular industry, exploring new technologies that are making waves as well as attending webinars may help one to remain updated.

Design for User Experience:

While developing the project, consider the user experience. A user-centric design, smooth navigation, and intuitive interface prove effective in enhancing the overall appeal of the project, retaining a sense of innovation.

Make Use Of Creative Visualisation:

If the project includes the representation of data, implement creative ways to visualize them. Unique visualization techniques can make your project unique and enhance comprehension of data.

The meaning of innovation doesn’t always necessarily mean the creation of something entirely new. It may also encompass finding unique ways in solving a particular problem, making improvements on existing solutions, or incorporating new technologies. It is by staying curious, ensuring an open mind towards learning, and enjoying the entire procedure that you can make your computer science project more innovative and interesting as a beginner.

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Wrapping up.

These are some cool mini project ideas for cse that you can toy with! Once you finish with these simple computer science projects, and final year project topics for computer engineering in diploma , I suggest you go back, learn a few more concepts and then try the intermediate projects.

When you feel confident, you can then tackle advanced projects. If you wish to improve your python skills, you need to get your hands on these computer science project ideas . Working on real-world projects allows you to apply your knowledge and skills to practice. Also, if you can create a few of these Computer Science projects, you can add them to your resume – it will definitely help you to stand out among the crowd. I hope you will learn a lot while working on these computer science projects.

If you’re interested to learn more about Java, and full-stack software development, check out upGrad & IIIT-B’s Executive PG Programme in Software Development – Specialisation in Full Stack Development  which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects, and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms.

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Frequently Asked Questions (FAQs)

A web architecture is the structure of a website, including its underlying servers, databases, networks, routers, and protocols. It is the design of the system that makes up the World Wide Web. It is also the management of the software and servers used to run websites. Web architecture is an important part of any web presence. It dictates how a user navigates from one website to another and influences the overall experience. It should focus on providing a positive online experience, and should always be used to enhance the overall user experience, but it should not be confused with the design of the website itself.

Data mining algorithms are a set of software tools and algorithms used to extract information from large amounts of data. They are used to determine which data points are most relevant in a given dataset and are used in a variety-generation algorithm, which is used to generate new lines of data. Data mining algorithms are the steps used to find patterns and trends in large data sets. They are important tools helping organizations make more informed decisions and better serve their customers. Data mining algorithms are used in a wide range of applications, including business intelligence, marketing, and fraud detection. They are also used to understand the behavior of large sets of data, to identify relationships and patterns, and to make predictions.

The need for effective e-authentication is due to the fact that users are increasingly using profile verification and sometimes password reset options to protect their accounts on online services, such as social networking sites, and to improve their online security more generally. The use of e-authentication is becoming a common way to prove identity when buying products or services. The process allows users to prove their identity using digital methods instead of traditional documents like ID cards. E-authentication is becoming more and more common, and there are a number of ways it is shaping our digital world.

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• Resume Help

9 Great Programming Projects for a Resume (Examples)

You can’t apply for an IT job with a resume as clean as a newly formatted partition. Add the best programming projects to your resume to bring it to next gen levels of professional.

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You’ve got your eyes on a sweet IT job with your name written all over it. You know you can do it. Problem is, you don’t have much that can prove that. How can you scramble together some kind of portfolio to show recruiters you’re worth your salt?

Easy. We’ve compiled a list of 9 programming projects for your resume that’ll help you stand out like bug-free code. What’s better, we have options for beginner and more advanced programmers, so whatever your level, we have something you can upgrade your resume with.

Want to save time and have your resume ready in 5 minutes? Try our resume builder. It’s fast and easy to use. Plus, you’ll get ready-made content to add with one click. See 20+ resume templates and create your resume here .

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• Resume Examples for Any Job

A List of Programming Projects for Your Resume

Listing programming projects on your resume isn’t just about showing off what a great programmer you are. If you’re an awesome programmer, great, but if you can also create something that’s actually useful, then you’ve hit another level of amazingness that recruiters will take note of. This goes double if you can create something that resonates with the company you’re applying to.

Some of you are experienced programmers and some are just starting out so find a harder or easier version of the programming projects that fit your experience and skill set.

Here are 9 programming projects for your resume that will make you stand out like Bill Gates in a computer science 101 class:

Creating gaming AI takes things up a few pegs in terms of complexity. You’re inherently trying to take complex behavior and turn it into ones and zeros.

If you feel up to it, go all out with creating sports based games or decision based play using game engine software.

Remember though, your programming project doesn’t need to be the next best thing since Assassin’s Creed. It’s enough to take a simple game like Snake and include a couple of additions to make it a bit snazzier.

Programming skills you can prove : data structures, algorithms, game engines (e.g. Unity)

Read more: Technical Skills for a Resume

Voice and Face Recognition Software or Apps

Voice and face recognition is the way of the future so getting in on it now not only proves your technical skills , but also that you’re a forward thinker.

Creating software to recognize your face and face to open a door or as a password enabling mechanism, for example, are a couple of great ways of demonstrating Python projects on your resume (Python is  the third top tech skill employers want now just after Java and SQL ).

Programming skills you can prove : algorithms, Python, data analysis, software development

Read more: Hard Skills for a Resume

Web Crawling/Scraping

This isn’t about just creating a program that just scrapes the web— that has no end goal and is relatively useless unless you're scraping for some kind of gigantic database.

So you can do one of two things: you can build a website that uses the scraped information for some purpose or you can automate the scraping program to do something with that information on its own (for example, scraping the news and posting the top 3 articles on your social media feed).

Programming skills you can prove : automation, web development, web scraping, database management

Read more: The Best Computer Skills for a Resume

An Ad Board

This could actually be any kind of board where you utilize several different users and user inputs. Creating a board like an ad board or job board requires programming and UI that acknowledges the difficulty of matching different users with their needs.

This idea would also work for a site or app that is centered around barter trade.

Programming skills that you can prove : database management, web development, UI

Read more: Job Skills Employers Want to See

Whoever said that programming needs to just be serious apps? Take advantage of mixing pleasure with work and showcase game mods that you made to your favorite game.

Creating game modifications can prove both hard skills and soft skills since it uses both your creative thinking skills as well as programming skills.

And to answer your question—yes, non-game companies will be interested in this.

Programming skills that you can prove : SDK, 3D animation, modelling, coding (Python, C++, JavaScript)

Read more: Employability Skills for a Resume

Mobile Apps

Making a mobile app is one of the staple go-tos in the IT world. With today’s tools and easy access to instructional videos, it’s quite simple to make one or more apps.

There is one caveat here though— there is a huge mass of mobile apps out on the market so unless your app is mind-blowingly amazing, you’ll be as visible as a drop of water in the ocean.

Another pomodoro timer or list app isn’t going to cut it if you want to get your dream IT job. So you can go one of two routes— make the app more complex, or go with a simpler app, but a rare idea.

For example, a simple to-do list isn’t anything to write home about. But sync that to-do list with Evernote, Google sheets or calendar, or OneNote and you have something much more interesting, useful, and complex.

Another idea is to take an app you already know and make it even better through upgrading its features, adding features, expanding or simplifying the UI, etc.

Programming skills you can prove : mobile app programming and development, UI, UX, API

Read more: Transferable Skills for a Resume

Forecasting Software

Everyone wants to be able to see into the future and you can help with that. Build a program that can extract meaningful relationships from large data sets. If that program can also make forecasts or predictions on the basis of those data sets, then you have an instant winner.

Remember to tailor your resume to the job you want. If you’re applying for an IT job in the business world, create a financial forecast that will predict profits or losses. If you’re applying for a job in marketing, try to forecast user/follower retention and growth. 

Programming skills you can prove : data analysis and management, software development, forecasting, analytical skills

Read more: How to Write a Targeted Resume

A Website or Blog

Building a website or blog is one of the simplest programming projects you can work on. That doesn’t mean that it has to be something uber primitive.

Let you mind go wild with what your website can offer or do to prove your programming skills. Websites are also a great addition to other programming projects such as web scraping or ad boards so they don’t always have to be only stand alone projects.

Programming skills you can prove : HTTP server, UI design, HTML/JavaScript/CSS, database management

Read more: Extracurricular Activities in Your Resume

Business Process Management System

Everyone is interested in a system or program that can make their life easier. Business processes are a great source of tasks and operations that can usually be computerized through proper software.

Business processes can be very lengthy and complicated so start off with a smaller chunk. For example, HR dashboards can be very complicated, but you can tackle creating software for just timesheet management or calculating overtime.

Programming skills you can prove : general programming, UI, database and process management, web development, project management

When making a resume in our builder, drag & drop bullet points, skills, and auto-fill the boring stuff. Spell check? Check . Start building a  professional resume template here for free .

When you’re done, our free resume builder will score your resume and our resume checker will tell you exactly how to make it better.

How to Add Programming Projects to Your Resume

There are two different resume sections where you can add programming projects to your resume: your work experience section or the additional section in your resume.

Add programming projects to your work experience if you’re writing a resume for an internship or writing a resume with no experience . This will put your projects at the forefront and grab the recruiter’s attention.

If you already have some work experience, use the additional section of your resume for your programming projects.

In either case, list the name of the project, how long it lasted, what tools or technologies you used, and add a few bullet points about what you did and what you learned. Be specific and relevant to the job you’re applying for.

Remember to also include any key achievements or awards that you’re programming projects might have got you.

Read more: How to List Projects on a Resume

Key Takeaway 

One thing— this isn’t a be all, end all list. If you’ve worked on something different, that’s great as long as it can prove certain skills to the hiring manager. 

Think about your own life or those around you and think how it could be improved or made easier. Then try to come up with apps or software that can solve that problem. Just remember: tech technologies are in a constant state of flux . So there’s no use listing Flash projects on a resume.

Plus, a great cover letter that matches your resume will give you an advantage over other candidates. You can write it in our cover letter builder here.  Here's what it may look like:

See more cover letter templates and start writing.

Thanks for reading! Do you have any questions about adding programming projects to your resume? Let us know down in the comments below!

About Zety’s Editorial Process

This article has been reviewed by our editorial team to make sure it follows Zety's editorial guidelines . We’re committed to sharing our expertise and giving you trustworthy career advice tailored to your needs. High-quality content is what brings over 40 million readers to our site every year. But we don't stop there. Our team conducts original research to understand the job market better, and we pride ourselves on being quoted by top universities and prime media outlets from around the world.

• https://www.hiringlab.org/2019/11/19/todays-top-tech-skills/
• https://www.hiringlab.org/2019/11/26/fastest-rising-tech-skills/

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Top 20 Computer Science Research and Passion Project Ideas for High School Students

By Logan Pearce

PhD candidate in Social Psychology at Princeton University

13 minute read

Computer Science (CS) is fast becoming one of the most popular academic majors in US colleges.

At Stanford University, CS has risen to take the number 1 spot as the most popular undergraduate major, followed by economics, engineering, human biology, and my major, Symbolic Systems . If you’re a high school student itching to try your hand at an independent project in computer science, try out one of these 20 computer science project ideas that you can pursue in the comfort of your own home!

5 Computer Science Projects in Game Design 

Games are a really fun way for high schoolers to get started with computer science. You get to develop your skills as a computer scientist while having fun with something you made! Here are a few ideas of games that you can make:

1. Number guessing game

If you only have a little bit of experience with computer science, try implementing this game before moving on to more complex projects. You’ll program the computer to think of a number between 1 and 10. The player guesses what number the computer is thinking of, and the player has to keep guessing until they get it right. You can also make the reverse version of the game - the player thinks of a number and the computer guesses what the player is thinking. 

Even though the basic idea of this game is simple, there are lots of fun and complex variations that you can add. For example, when the player is guessing the number, you can write code to tell the player if the number they guessed is higher or lower than what the computer is thinking and/or alert the player if they guess a number that they already guessed before. When the computer is guessing the number, you can write code to detect if the player changed their number and/or guess the number faster by asking the player if their number is higher or lower than what the computer guessed.

Idea by computer science mentor Logan (me!)

2. Choose-your-own-adventure story 

In a choose-your-own-adventure game, players are presented with situations like: You are in a dark room and you hear a knock at the door, what do you want to do?: 1) Open the door or 2) Explore the room. Based on what the player chooses, the story goes in different directions! In this project, you will have the full creative freedom to build a choose-your-own-adventure game with as many twists and turns as your heart desires. You’ll learn the basic principles of programming, such as how loops and functions work.

Idea by computer science mentor Carina

3. Tic tac toe

In this project, you’ll create a board that players can use to play tic tac toe. Players will alternate placing their marker (i.e., “X” or “O”) on the board. After each player moves, the computer will check to see if the player won the game.

Let’s face it, basic tic tac toe is a little boring, so time to add some excitement by implementing more complex versions! Adapt your game board so that players can play odds/evens tic tac toe and odds/evens tic tac toe with parity. 

Check out the details of those tic-tac-toe variations here 

In the beginner version of this project, players won’t be able to click on the game board. Instead, you’ll use letters to mark each letter on the board. Thus, each tile will be marked by a letter from a - i. Each player will type the letter of the tile that they want to put their marker on.

In the intermediate version of the project, you’ll create a Graphical User Interface (GUI) so that players can click on the board.

/Intermediate

Idea by computer science mentor Logan

4. Educational video game

There are many ways to teach nowadays, and more often than not, games are one of the best facets to encourage learning that is both fun and constructive. From infancy through adulthood, games have been used to share information and teach fundamental concepts. You can make a math game, a typing game, or anything else that you want!

Idea by computer science mentor Hannah

5. 2D or 3D game

For students who are interested in game development and have some prior experience with computer science, designing your own game is a great passion project! You get to conceptualize, design, and implement your very own game. You can decide to make a 2D game like Galaga or Donkey Kong, a 3D game where you fight monsters, or any other kind of game.

Idea by computer science mentor Sahil

Create a CompSci research project tailored to YOU!

Polygence pairs you with an expert mentor in your area of passion. Together, you explore the area of Computer Science that ignites your mind to create a high quality research project that is uniquely your own. We also offer options to explore multiple topics, or to showcase your final product!

3 Computer Science Projects in Design 

1. there’s an app for that.

If you have been coding for a while and have an idea of just what the world needs next in the app world, this might be the perfect project for you!  Learn to design, code, and create an app from start to finish and share it with your friends and family. If you want, you can even publish it on the app store (for a small fee) and see what kind of traction you get! You can use MIT's App Inventor or Code.org's App Lab as resources as you embark on your app development journey.

Idea by computer science mentor Abigail

2. Make your own website

In this project, you will learn the fundamentals of web development by creating your own website. You will deploy this website to the world wide web, and create several different pages with content of your choice. Will you make a professional page with your resume and bio? A site with games for your friends? Maybe a blog or collection of articles?

Idea by computer science mentor Sam

3. Design research and development

Design is rooted in problem-solving and creating elegant solutions. You will identify an issue, do social research, and analyze data. Ultimately, you will develop a design solution that can be integrated into daily life. Projects could include designing an app, website, product, or virtually anything that needs fixing. This project is different from the previous two in that you will investigate your issue and design a solution without having a set end goal in mind. Everything in our lives is designed, so let's design it better!

Idea by computer science mentor Amira

5 Computer Science Projects in Data Analysis

1. combining datasets to extract insights.

Data comes in many different places and is often most powerful when combined. This project is simple and open-ended. Find two or more datasets regarding some topic of your choice that you think might add additional insight when taken together. Your goal will be to join those datasets together and find out something cool! Depending on your ambition/comfort with Javascript, HTML, and CSS, you can even try creating a basic dashboard that allows other people to find out information about your topic.

For instance, the mentor who proposed this project once created a dashboard that combined housing data from Zillow, US Census data, and business information from Yelp to create an app that would help prospective movers find areas that fit their lifestyle on a certain budget. This project will likely make heavy use of SQL, as well as Python for preprocessing.

Idea by computer science mentor Daniel

2. A comprehensive analysis of passwords

You probably have seen that many websites have certain password requirements like, "Must contain one capital letter, a symbol, a number, etc.” Using some form of rule induction, pattern recognition, or machine learning, as well as one of the many datasets of password leaks available online, find the patterns in how people choose passwords, and how those can be protected. For instance, if people are using a capital letter, does it often appear at the beginning of the password? How often are passwords just English words, as opposed to a random set of characters?

Idea by computer science mentor Hirsh

3. Understanding mental health through social media

Social media can be a lens into the lives and well-being of individuals. Using the social media platform of interest, you can study how useful posts, interactions, and other information are in predicting and understanding mental health and mental illness. You will use statistical and machine learning tools to search for relationships between social media and mental health. You can also survey people who use social media to complement your analysis. It would be especially interesting to study this topic for a specific demographic, a niche social media platform or online community, or a particular mental health condition.

Idea by computer science mentor Camille

Learn more about the Impact of Social Media on the Mental Health of Middle and High School Students

4. Formula 1 racing

Are you a fan of Formula 1 racing? Formula 1 is one of the most watched sports in the world!  Extreme engineering, nail-biting precision, and excellent team dynamics are key to the participation and success of any team. The moment anyone decides to go rogue, the whole team is impacted - and may even be disqualified!

For those of you who enjoy working with data and have a little bit of data science and CS skills under your belt, an interesting project would be to analyze an F1 dataset and look at patterns in attributes like drivers, race times, season data, and pitstop status. For example, you can calculate correlations and regressions to better understand the relationships between those attributes. 

Idea by computer science mentor Thomas

5. Analyzing cancer genomes

The Cancer Genome Atlas (TCGA) is a wealth of open-source data including patient health records, genomic sequencing and histology slides. You can analyze this data to calculate correlations between morphological histology, features, and mutations. Using machine learning, you can also predict patient survival based on histology or genomic data.

Focusing on a rare cancer would be ideal for this project as rare cancers tend to be understudied and even analyses utilizing small datasets could lead to interesting discoveries. There are multiple open source tools developed such as CLAM that you could use for this project.

Idea by computer science mentor Sharifa 

7 Computer Science Projects in Machine Learning

1. introduction to sentiment analysis .

 If you are brand new to machine learning, try using Python’s Natural Language Toolkit (NLTK) to analyze the text of your choosing! Sentiment analysis is a type of Natural Language Processing (NLP) that gives a number indicating whether a person feels positive, negative, or neutral towards what they’re talking about. For example, it can tell you how much a person did or did not like a movie based on a movie review. 

In this project, you will begin by gathering text-based data. It’s best to use “real-world” data so that you can answer a research question! You can write your own text snippets in the code file, import some text that you have on your computer, or scrape data from online. To scrape (“collect”) data, you’ll use an API that allows you to easily get information from that website by using code, (e.g., the Reddit API ). Then, you’ll use the NLTK to analyze the text. 

2. Continuing with sentiment analysis 

You can do this project after the previous one about sentiment analysis, or you can dive straight in if you already have some programming experience. Try out developing your own sentiment analysis algorithms in this project. What are some words that indicate someone feels positive or negative towards a topic? How will you handle phrases with negative words, like “I didn’t like the movie.” Test how your algorithm compares to the NLTK!

3. Build a music or movie recommender

Have you ever been impressed with how websites like Netflix, Spotify, and Pandora seem to know what you enjoy? Doing a project where you build your own recommender is a great way to explore the various methods of content recommendation! You will learn concepts like content filtering, collaborative filtering, user/product embedding methods, graph-based techniques, and more. The goal of this project is for you to experiment with various types of recommenders and build your own for a product or media of your own choosing. 

Idea by computer science mentor Eli

4. Detecting bots on Twitter

Bots are everywhere now! With fake news and bot detection becoming ever more important as a social and political issue, you might want to try your hand at a computer science bot detection project. You can do a project where you measure and quantify how easily it is to detect tweets that have been written by bots. You can start by going through the following four steps: 1) Collect some data, ideally labeled already as "fake.” 2) Observe properties of "real" vs. "fake" tweets. 3) Write a program (an example might be a Naive Bayes classifier ) to label new, incoming tweets as either “real” or “fake”. 4) Evaluate how good the program is using a sensible metric.

Idea by computer science mentor Clayton

5. Designing your own autocorrect algorithm 

This is a project with two focal ideas - one in computer science and one in machine learning. The first idea is called dynamic programming and is one of the traditional ways in computer science to implement an autocorrect algorithm. Depending on your level, you can design it from scratch or just focus on the algorithm. After that, one option is to use machine learning to create different, personalized, and more accurate versions of autocorrect for individuals. The goal of this project is for you to get comfortable with a complex class of algorithms that are typically only learned in the later undergrad years!

Idea by computer science mentor Ryan

6. Guiding musicians with machine learning

If you’ve ever learned an instrument, you know how much help you need with tone quality, embouchure, managing hand placement, and pitch correction, among many other things! This is an advanced project where you will use your camera and microphone to explore ways to use machine learning and artificial intelligence to identify areas of improvement and suggest corrections. If you’ve been looking for ways to combine your interest in computer science and music, this is a great place to get started!

Idea by computer science mentor Ross

7. Natural language processing with BERT

 Do you already have a good foundation in computer science? Did you recently develop a fascination with Natural Language Processing (NLP)? Well, this project might be the right one for you! In 2018, Google released BERT, a neural language model that helped NLP practitioners outperform previous state-of-the-art benchmarks in language tasks (e.g., question answering, sentiment analysis, machine translation) across the board. 

You can do a project where you learn how deep learning researchers approach quantitative problems in classifying and analyzing language. You will develop an understanding of the concept of contextual word embeddings and the motivation for BERT. Last but not least, write code to apply BERT to a language task of your choosing!  One example to get your creative juices flowing is quantifying gender bias in news articles or tweets. 

Idea by computer science mentor Arnav

Start YOUR Computer Science Project

Research projects are great because they give you an edge on your college application . You may want to write a research paper after finishing your research. If research papers aren’t your thing, check out this list of creative ways you can explore your passions .

Check out the full Polygence student project database that has even more computer science research projects to inspire you!

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What Can You Do with a Computer Science Degree? 10 In-Demand Fields

Earning your bachelor's or master's degree in computer science can lead to exciting opportunities across a number of industries.

Computer and information technology (IT)-related careers are projected to grow much faster than the average for all occupations in the coming years, according to the Bureau of Labor Statistics (BLS) [ 1 ]. Earning your computer science degree —either your bachelor's in computer science or master's in computer science —opens up numerous career opportunities.  

While computer science tends to be thought of as a hard major , it's also considered a good major because of the job opportunities it can often lead to. In this article, we've compiled ten established and emerging fields that are worth exploring as you get ready to apply for your computer science degree and move into the workforce.

10 in-demand fields for computer science graduates

Whether you're looking for entry-level computer science jobs or opportunities that require more training and experience, consider these relevant computer science career paths.

1. AI and machine learning

Artificial intelligence (AI) has been named a key driver of the Fourth Industrial Revolution. We experience AI in our homes, our cars, our businesses, and even in public spaces. Machine learning enables an AI system to learn from data. Working in the field of AI and machine learning means innovating the technology of tomorrow. 

This industry may be good for you if: You can think creatively and analytically. You want to play a role in transforming the global economy.

AI and machine learning job titles:  

Machine learning engineer

Data scientist

AI researcher

Common job requirements: Bachelor or Master of Computer Science, knowledge of Python, Java, and R coding languages

2. Robotics

The growing field of robotics focuses on building robots that can replicate human actions (from building cars to assisting in surgery). A foundation in computer science equips you to program the software that helps physical and virtual bots operate effectively.

This industry may be good for you if: You’re interested in computer programming as well as electrical and mechanical engineering. You enjoy hands-on projects.

Robotics job titles: 

Robotics engineer

Robotics technician

Software developer

Common job requirements: Bachelor’s degree in computer science or software, mechanical, or electrical engineering, experience with computer-aided design (CAD) software, proficiency in C++ or Python.

Learn more: 5 Robotics Jobs to Consider

3. Computer forensics

Computer forensics exists at the intersection of law and computer science. Computer forensics, also called data or digital forensics, deals with the recovery and analysis of digital evidence recovered from computers, networks, and digital storage devices. You might work in a crime lab, law enforcement department, public agency, or private contractor.

This industry may be good for you if: you’re naturally inquisitive and are interested in cybercrime and law enforcement.

Computer forensics job titles:

Digital forensics specialist

Computer forensics investigator

Forensic computer analyst

Common job requirements: Bachelor’s degree in computer science or computer security, recognized digital forensics certification

4. Cybersecurity and ethical hacking

Cybersecurity refers to the practice of protecting computer systems, networks, programs, and mobile devices from unauthorized access or digital attacks. Cyberattacks rank among the fastest-growing crimes, fueling global demand for cybersecurity skills.

Ethical hacking takes a proactive approach to cybersecurity by trying to find vulnerabilities before malicious hackers do.

This industry is perfect for you if: you naturally think ahead to what could go wrong before it happens. You take a methodical approach to problem-solving.

Cybersecurity job titles: 

Information security analyst

Systems engineer

Cybersecurity manager

Common job requirements: Bachelor of Computer Science or Master of Business Administration in Information Systems, information security certification like the Certified Information Systems Security Professional (CISSP) or Certified Cloud Security Professional (CCSP)

Read more: 10 Popular Cybersecurity Certifications

5. Video game design

While video game design isn’t a new industry, it’s one that will likely continue to evolve. As games get more advanced, gaming companies will need more people skilled in designing and programming virtual reality, graphics, game physics, networks, and user interfaces.

This industry is perfect for you if: you’re a creative thinker with a passion for video games.

Video game design job titles:

Games developer

Technical support specialist

Common job requirements: Bachelor of Computer Science or related field, knowledge of the latest gaming trends, proficiency in C++  or Java programming languages

6. Cloud computing

With the emergence of cloud computing technology, companies no longer need their own servers to build products. As the cloud continues to grow, so will the demand for professionals with cloud computing skills, including cloud security, database management, and network architecture.

This industry is perfect for you if: you’re interested in how the Internet can help transform businesses.

Cloud computing job titles:

Cloud engineer

Network architect

Cloud security specialist

Common job requirements: Bachelor’s degree in computer science, certification from Google Cloud Platform (GCP), Amazon Web Services (AWS), Cisco, or Microsoft Azure  

Learn more: 5 Cloud Certifications for Your IT Career

7. Bioinformatics

Bioinformatics combines mathematics, biology, and computer science to better understand biological data. Scientists in this field use the growing stream of biological data by storing, analyzing, and interpreting big data sets using computer technology.

This industry is perfect for you if: You like analyzing facts and working with ideas. You’re interested in biological science as well as computers.

Bioinformatics job titles:

Bioinformatics scientist

Research associate

Bioinformatics engineer

Common job requirements: Master’s degree in computer science or computational biology, proficiency with Python, Perl, and R programming languages

8. UX design

User experience (UX) design helps shape a customer’s emotions and attitudes when using a particular product, service, or system. Whether for a physical product or, more often, for a website or app, user design is concerned with gathering and analyzing data to craft the most enjoyable and efficient user experience.

This industry is perfect for you if: You are interested in human behavior. You want a career where you can use your creativity.

UX design job titles:

UX designer

Information architect

Product manager

Common job requirements: Bachelor’s degree in human-computer interaction, computer science, or psychology, knowledge of design and prototyping tools like Sketch, InVision, or AdobeXD

9. Big data

Businesses are often inundated with data each day, more data than the human mind can make sense of on its own. That’s where big data analytics comes in. This field deals with collecting and analyzing large data sets to find valuable information that can be leveraged to make better business decisions. 

This industry is perfect for you if: you enjoy mathematics and making sense of large data sets. 

Big data job titles:

Data visualization developer

Business intelligence engineer

Common job requirements: Bachelor’s or master’s degree in computer or data science, proficiency with SQL, knowledge of Python, Java, or R programming languages

10. Internet of things (IoT)

Physical objects around the globe—from thermostats and lightbulbs to toys and audio speakers—are now connected to the internet. The Internet of things (IoT) refers to this collection of devices and the technology used to connect the physical with the digital. As the number of “smart” objects grows, companies will need professionals with the skills to design, develop, and program them.

This industry is perfect for you if: you’re a natural tinkerer obsessed with the latest gadgets.

Internet of things job titles:

IoT developer

Embedded systems designer

Vulnerability analyst

Common job requirements: Bachelor of Computer Science, IoT or cloud development certification, proficiency with JavaScript and Python

Now that you’ve learned about what you can do with a computer science degree, it’s time to take the next step on your career journey.

Build a foundation in information technology (IT) with the Google IT Support Professional Certificate on Coursera.

Learn about what it’s like to earn your bachelor’s or master’s in computer science online . Sign up for more information on degree programs through Coursera, or contact a Coursera enrollment counselor to get your questions answered.

Experience a degree program for yourself by sitting in on a degree course from the University of Illinois.

Computer science degree frequently asked questions (FAQ)

Read on for answers to some frequently asked questions about degrees in computer science.

Is computer science hard? ‎

Studying computer science means learning some complex topics like algorithms and coding. With the right motivation, patience, and an interest in computers, you can find success in this challenging field.

Read more: Is Computer Science Hard? ‎

Is a computer science degree worth it? ‎

The time, effort, and monetary investment of earning a degree potentially opens up well-paying job opportunities in many in-demand fields. Check the job requirements of some positions you’d like to apply to in the future to see if a computer science degree aligns with your career goals.

Read more: Bachelor’s Degree in Computer Science: A Guide ‎

Is computer science right for me? ‎

If you’re organized, pay attention to detail, and enjoy problem solving, computer science could be a good fit. Enhance your understanding of technology and learn skills to empower you to work in the computer careers of the future.

Read more: What’s a Computer Scientist? And How to Become One ‎

Can I work from home with a degree in computer science? ‎

The computer science field was one of the first to allow working from home, even before COVID-19. Whether or not you can work from home depends on your career choice. Jobs in software and web development, programming, and technical support often come with work-from-home opportunities.

Read more: 10 Remote Work-From-Home Jobs that Pay Well ‎

Can I earn my computer science degree online? ‎

Yes. Completing a computer science degree online allows you to study from home with the same curriculum and professors as on-campus programs. Some online degree programs offer greater flexibility. You can continue to work, take care of family, or keep up with other obligations while earning your degree.

Read more: 10 Surprising Benefits of Online Learning ‎

Article sources

US Bureau of Labor Statistics. " Computer and Information Technology Occupations , https://www.bls.gov/ooh/computer-and-information-technology/home.htm." Accessed January 10, 2023.

Keep reading

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This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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15 Programming Subreddits (Coding Subreddits)

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Looking for coding or programming help but don’t know where to go? Thankfully there are tons of online forums and communities where developers will answer questions and help you solve problems.

Reddit is one of the largest social sites out there and it’s a great place for finding quick programming and development help. You just need to know where to look.

I’ve curated the best subreddits for everything related to web development & backend programming. Whether you’re doing frontend HTML/CSS or some backend Node.js, there’s a subreddit out there that can help.

• r/AskProgramming
• r/LearnProgramming
• r/JavaScript
• r/LearnJavaScript
• r/WordPress
• r/ProWordPress
• r/LearnPython
• r/CodingHelp

You may also be interested in our list of subreddits for designers .

Top Subreddits for Programmers and Web Developers

1. r/webdev.

By far the largest community and best place to start is the r/WebDev subreddit. It’s easily one of the best subreddits for coding and web design.

It’s heavily populated with over 1.6 million subscribers and growing larger every month. This is the de-facto “main” subreddit for talking about all things webdev including both frontend & backend code, career advice, open-source projects, helpful tools, and much more.

It does move fast and the front page is full of new topics daily. Thankfully it’s also an active community on Reddit and if you post a good question you’re bound to get a response.

I recommend this more as a starting point if you have simple questions or want advice from a larger group. The webdev community is vast and this subreddit offers a direct link to gather advice or critiques on your work.

2. r/Frontend

Here’s a slightly smaller sub geared more towards HTML/CSS work. The r/Frontend community is packed with great tips and news about the frontend landscape. It’s probably one of my favorite coding subreddits.

Everything related to frontend development is welcome including critiques, open-source projects, and of course questions from noob-tier basics to more advanced subjects.

This sub is fairly sizeable with an active audience and 200k+ subscribers.

Since it’s smaller, you won’t need to worry about questions being pushed off the front page too fast.

Getting even more specific is the CSS subreddit dedicated to all things Cascading Style Sheets.

Again it’s a fairly small sub (110k+ subscribers) but large enough that there is plenty of activity. It’s definitely a great place to go for answers to your questions, or to find suggestions on how to build something.

The front page is full of advice and tips for coders trying to learn new techniques in the world of CSS. Whether you’re a beginner or a pro, I think you’ll appreciate this subreddit.

No matter what your background or experience level I definitely recommend the /r/CSS community for relevant code advice.

4. r/AskProgramming

If you want a community dedicated to answering questions, then you want the AskProgramming subreddit.

This programming subreddit is not a huge resource (90k+ subscribers) but it’s very active, with members posting every day. It’s also one of the few places where you can get immediate answers without being downvoted for asking a stupid question (or for no reason, it is Reddit after all).

This sub is really made for anyone who has questions about programming in general. It does feature plenty of topics unrelated to the world of webdev. But you can learn a lot from those questions too and of course, you’ll find plenty of web topics mixed in.

Although you should probably have some understanding of programming before asking anything here. You certainly don’t need to be an expert but it helps if you’re not a total noob either.

Think of this place more like a support group with experienced programmers willing to help you out, but only if you’ve done some of the legwork yourself.

5. r/LearnProgramming

One of the largest coding subs on Reddit is r/LearnProgramming. It has a massive 3.8 million subscribers, making it one of the best programming subreddits.

Just as the name suggests, it’s a community of beginners and intermediate-level coders hoping to pick up a new programming language (or learn their first one).

It’s an excellent resource for asking questions about how to get started, which books to study for web dev, or which online courses will help you learn to build websites.

But since this is a general programming subreddit, it’s also very much involved with other languages. You’ll find a ton of posts on Ruby, C#, Python, and other popular languages. Many times these can be used on the web but they’re rarely a beginner’s language.

Either way, this sub is really a mixing ground for everyone and it’s the perfect place for beginners to ask questions without feeling obnoxious.

6. r/Coding

I can’t say the r/Coding subreddit is the absolute best resource for a beginner, but it is one of the strongest places to start if you’re unsure of what you want to learn.

This community offers a nice mix of discussion threads, general questions, and news posts talking about the latest information in the world of development. It is not just a web-related forum although it does have a lot of content in that area.

Really the r/coding subreddit is useful for picking up tidbits from other developers on the process of coding. This might include the npm package manager or even setting up a typical IDE workflow for learning HTML/CSS on your own.

Either way, this is a sub you should definitely check out if you’re interested in web development as a career.

7. r/JavaScript

The biggest and baddest of all the frontend languages has to be JavaScript. This language started off as a small standard created by a developer at Netscape.

Over the past couple decades, JavaScript has become a must-learn language for modern development. The r/JavaScript subreddit is the place to be if you’re hoping to learn more, share advice, ask questions, or just consume a bit of daily JS wisdom.

There is no way anyone could master all of JavaScript. It’s just such a huge area with hundreds of frameworks and libraries that build upon vanilla JS code.

I personally think it’s best to specialize and focus on one area at a time. If you’re brand new then try reading some guides and asking questions as you have them. But I don’t recommend this JS subreddit for absolute novices.

Instead, think of this place as a professional-level discussion board. If you bring a question to the table you should be thoughtful and try to respect the advice of others.

And you can try searching Google first to see if anyone else has asked your question in the past.

8. r/LearnJavaScript

Now here’s one of the better communities for getting started as a beginner. r/LearnJavaScript is solely meant for anyone who really doesn’t understand the JS process and needs to ask some pretty newbie questions.

You might get answers on the main JS sub if you ask newbie stuff, but really you’ll get more info from the Learn JavaScript community.

It’s a pretty large sub with about 225k+ subscribers and a handful of new posts every day. You’d be surprised what kinds of questions get asked here and it’s not very hard for your post to hit the front page.

Sometimes you’ll also find articles and tutorials shared from other members who found some content valuable on the web. Bookmark any links that grab your attention and try going through them at a later date.

But this is really the best support community for aspiring JS devs. Commenters are usually more than willing to help so long as you provide enough details on your problem.

The largest backend web language in the world is PHP. This powers most of the big CMS engines, including WordPress, so it’s no surprise that the PHP subreddit would be popular.

This place does support general webdev/WordPress topics, although it’s more focused on the PHP language itself.

Posts range from news updates to questions and even developers asking how to approach a certain problem. These aren’t usually complex algorithmic problems but they are issues that web developers face every day.

You can also find posts offering advice on speeding up website performance since PHP can run a tad slow. It’s still the most used open-source backend language so it’s going to be around for a while.

10. r/WordPress

Piggybacking on the PHP subreddit is the ever-popular WordPress sub.

Since WordPress now powers more than 1/3 of the Internet, it’s fair to say this open-source CMS is worth learning. And if you’re having trouble with WordPress, this community can help.

It’s one of the better subs to gather code snippets and helpful plugins that are bound to increase your WordPress coding process.

You can get support for everything from theme development to plugin development and even common problems you may face when building your functions.php file. WordPress is truly its own ecosystem so you need to feel comfortable learning the ropes.

This community does run a bit slower than others, but you’ll still get really helpful responses if you’re patient.

11. r/ProWordPress

Are you already pretty skilled at WordPress development? Know your way around the backend and feel very comfortable building new themes from scratch?

Then you might prefer the r/ProWordPress subreddit. This pro-level sub is a lot smaller with only 7k subscribers and far fewer posts.

However, it’s also a lot more technical and it’s probably one of the better places to ask complex programming topics.

My first recommendation is actually the WordPress Stack site because it’s full of talented coders who specifically make time to answer questions. But as another resource, the r/ProWordPress subreddit is definitely something to check out.

12. r/Rails

If you want to move beyond PHP development, then you’ll probably choose between either Ruby or Python. Both languages are super popular on the web and they’re both heavily supported in most server environments.

And the best Ruby framework you can learn is Rails, which has its own support forum brimming with advice for all skill levels.

I usually recommend Rails for anyone moving beyond PHP since the RoR framework forces you to learn best coding practices. You can find similar frameworks for Python but they just aren’t as structured or as popular.

The r/rails community is an excellent place to ask questions and gather feedback on your project work if you choose to learn Ruby. It’s a decently sized community with 40k+ subscribers and new threads pop up every day.

Give it a go if you’re itching to dive into backend development and want something beyond PHP.

13. r/LearnPython

If you choose to learn Python, the Python Education subreddit is an excellent resource. With well over 700k+ subscribers, it’s a very large and active group.

You’ll find “ask anything” weekly threads where you can openly ask whatever random Python questions you have. You can also start your own thread with a specific question if you’d like. Most threads in this sub generate many comments and some good discussion.

As an education-focused subreddit, this one is pretty open for beginner-level questions, although it’s always helpful if you can show that you’ve done some research to try to find the answer on your own before turning to the community for help.

14. r/BadCode

If you’re looking for a fun community, be sure to check out the r/badcode sub. This community with nearly 400k subscribers exists to be a place “where terrible code can be among friends.”

The educational value of this subreddit may not be quite as high as some of the others covered here, but you’ll still learn what not to do by seeing some bad examples that are posted. And more importantly, if you get involved in this community it may help to lighten your day a little.

15. r/CodingHelp

The last resource that we’ll look at is one of the more general options. r/codinghelp has more than 60k subscribers, and you can get help with your own code.

When you have an issue that you’re just not able to solve, try turning to this community. It’s fairly active and you’re likely to get the help that you need from others in the community.

Now Get Coding with the Help of Reddit!

Support communities are great, but they’re no replacement for hard work. If you want to learn web development you’ll need to put in the hours and really practice.

But I also recommend bookmarking a few of these subreddits for programmers to reference along the way. You don’t need to do everything on your own and it helps to have a professional look over your work.

Also if you have suggestions for other Reddit communities for programming and coding, reach out and let us know.

Jake is a writer and user experience designer on the web. He currently publishes articles related to user experience and user interface design. Find out more on his website or you can follow his updates on Twitter @jakerocheleau

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Computer science is a popular topic of study today, with numerous applications spanning a wide range. Final-year students frequently find it difficult to select the appropriate computer science project. On the final day of graduation, projects are the only thing that matters. Any IT-related industry where projects have a substantial impact can be chosen for a job or further education. Project work indicates knowledge depth as well as some soft skills like creativity and problem-solving. Your interview prospects will also improve as a result of your final year projects. As a result, in their last year of graduation, students are required to complete a project.

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Computer Science – FAQs

1. what is computer science .

Computer science (CS) is the study of computers and algorithmic processes including their principles, their hardware and software designs, their applications, and their impact on society.

2. Which is the best project in the final year?

The best final-year project is subjective and depends on your interests and skills. Choose a project that appeals to your interests, challenges you, and provides real learning possibilities.

3. How do I choose a major project for CSE?

To choose a major project for Computer Science Engineering (CSE), follow these steps: Identify your interests and strengths within CSE. Research current trends and emerging technologies in the field. Discuss project ideas with professors, peers, and industry professionals. Consider the project’s feasibility, scope, and potential impact. Select a project that excites you and aligns with your academic goals.

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Google DeepMind’s new AI tool helped create more than 700 new materials

Newly discovered materials can be used to make better solar cells, batteries, computer chips, and more.

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From EV batteries to solar cells to microchips, new materials can supercharge technological breakthroughs. But discovering them usually takes months or even years of trial-and-error research. 

Google DeepMind hopes to change that with a new tool that uses deep learning to dramatically speed up the process of discovering new materials. Called graphical networks for material exploration (GNoME), the technology has already been used to predict structures for 2.2 million new materials, of which more than 700 have gone on to be created in the lab and are now being tested. It is described in a paper published in Nature today. 

Alongside GNoME, Lawrence Berkeley National Laboratory also announced a new autonomous lab. The lab takes data from the materials database that includes some of GNoME’s discoveries and uses machine learning and robotic arms to engineer new materials without the help of humans. Google DeepMind says that together, these advancements show the potential of using AI to scale up the discovery and development of new materials.

GNoME can be described as AlphaFold for materials discovery, according to Ju Li, a materials science and engineering professor at the Massachusetts Institute of Technology. AlphaFold, a DeepMind AI system announced in 2020, predicts the structures of proteins with high accuracy and has since advanced biological research and drug discovery. Thanks to GNoME, the number of known stable materials has grown almost tenfold, to 421,000.

“While materials play a very critical role in almost any technology, we as humanity know only a few tens of thousands of stable materials,” said Dogus Cubuk, materials discovery lead at Google DeepMind, at a press briefing. 

To discover new materials, scientists combine elements across the periodic table. But because there are so many combinations, it’s inefficient to do this process blindly. Instead, researchers build upon existing structures, making small tweaks in the hope of discovering new combinations that hold potential. However, this painstaking process is still very time consuming. Also, because it builds on existing structures, it limits the potential for unexpected discoveries. 

To overcome these limitations, DeepMind combines two different deep-learning models. The first generates more than a billion structures by making modifications to elements in existing materials. The second, however, ignores existing structures and predicts the stability of new materials purely on the basis of chemical formulas. The combination of these two models allows for a much broader range of possibilities. 

Once the candidate structures are generated, they are filtered through DeepMind’s GNoME models. The models predict the decomposition energy of a given structure, which is an important indicator of how stable the material can be. “Stable” materials do not easily decompose, which is important for engineering purposes. GNoME selects the most promising candidates, which go through further evaluation based on known theoretical frameworks.

This process is then repeated multiple times, with each discovery incorporated into the next round of training.

In its first round, GNoME predicted different materials' stability with a precision of around 5%, but it increased quickly throughout the iterative learning process. The final results showed GNoME managed to predict the stability of structures over 80% of the time for the first model and 33% for the second. 

Using AI models to come up with new materials is not a novel idea. The Materials Project, a program led by Kristin Persson at Berkeley Lab, has used similar techniques to discover and improve the stability of 48,000 materials. 

However, GNoME’s size and precision set it apart from previous efforts. It was trained on at least an order of magnitude more data than any previous model, says Chris Bartel, an assistant professor of chemical engineering and materials science at the University of Minnesota. 

Doing similar calculations has previously been expensive and limited in scale, says Yifei Mo, an associate professor of materials science and engineering at the University of Maryland. GNoME allows these computations to scale up with higher accuracy and at much less computational cost, Mo says: “The impact can be huge.”

Once new materials have been identified, it is equally important to synthesize them and prove their usefulness. Berkeley Lab’s new autonomous laboratory, named the A-Lab, has been using some of GNoME’s discoveries with the Materials Project information, integrating robotics with machine learning to optimize the development of such materials.

The lab is capable of making its own decisions about how to make a proposed material and creates up to five initial formulations. These formulations are generated by a machine-learning model trained on existing scientific literature. After each experiment, the lab uses the results to adjust the recipes.

Researchers at Berkeley Lab say that A-Lab was able to perform 355 experiments over 17 days and successfully synthesized 41 out of 58 proposed compounds. This works out to two successful syntheses a day.

In a typical, human-led lab, it takes much longer to make materials. “If you’re unlucky, it can take months or even years,” said Persson at a press briefing. Most students give up after a few weeks, she said. “But the A-Lab doesn’t mind failing. It keeps trying and trying.”

Researchers at DeepMind and Berkeley Lab say these new AI tools can help accelerate hardware innovation in energy, computing, and many other sectors.

“Hardware, especially when it comes to clean energy, needs innovation if we are going to solve the climate crisis,” says Persson. “This is one aspect of accelerating that innovation.”

Bartel, who was not involved in the research, says that these materials will be promising candidates for technologies spanning batteries, computer chips, ceramics, and electronics. 

Lithium-ion battery conductors are one of the most promising use cases. Conductors play an important role in batteries by facilitating the flow of electric current between various components. DeepMind says GNoME identified 528 promising lithium-ion conductors among other discoveries, some of which may help make batteries more efficient. 

However, even after new materials are discovered, it usually takes decades for industries to take them to the commercial stage. “If we can reduce this to five years, that will be a big improvement,” says Cubuk.

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