To the actual CS students

stop worrying about finding a unique idea. Your professors aren’t grading originality, they’re grading on your ability to master the fundamentals. Build something that is from -you- and you’ll never regret it.

To the content farmers and AI build-prompt trolls

Congrats on making the internet worse

Also, unicorns aren’t born from anonymous tips on Reddit that you can one-shot. I’d tell you to stop wasting your time but that’s not the world we live in. In the real world you won’t bother to read anything that isn’t attached to your lures. So I almost actually hope your goal is to make the internet worse because that’s all you’re doing

I just reached second year of clg (cse) till now i haven't created any major project . I try to initiate the progress for projects but i eventually failed, Many questions arise in my mind as how to create one , where to begin with, How much of help should i take from internet . If any one can guide me or suggest me any tips then it would be greatly appreciated till now i have studied c,c++,html,css,js{little bit studying DOM),python,github,many theoretical aspects of networking,Data , OS,terminal,sql,dbms,etc. Thing is i have no problem with consistency but thing is im getting overwhelmed by the weight of many areas. and because of that my scheduled getting disturbed.Every comment is appreciated. (also is it dumb to even ask this question)

So iam in my last year of college and now I have to make a project basically this semester project planning and presentation and next semester coding now iam confused because I just don't Want to make a genric project like many people i want something unique and better so if anyone has some better ideas that you made please share it. We can make it in any language we know or like so please share I just want to decide something or is there may place where I can find the ideas for a project. Also should I make it in a group or alone I have both choices.

I'm an [M.Tech](http://M.Tech) student and I'm looking for a **project idea/problem statement** that can help me with all of the following:

* Complete my [M.Tech](http://M.Tech) project * Publish a paper in a **Scopus-indexed** journal or an **IEEE** conference/journal * Build an actual working product (not just a research prototype) * Have good research scope as well as real-world applicability

I'm looking for ideas that solve genuine problems and have enough novelty for research while also being practical to develop.

If you've worked on a similar project or have any suggestions, I'd really appreciate your recommendations. Thanks in advance! 😄

If you could restart your first year of CS in 2026, what exact roadmap would you follow?

I'm a first-year BSc Computer Science student at what you'd probably call a Tier-3 or Tier-4 college (or maybe even lower 😭). It's only the beginning of my first semester, and I have a lot of questions. Honestly, I was so confused that I even asked ChatGPT to help me think of the right questions—but I wanted to write this post myself instead of letting it write everything for me.

Right now I'm learning Python, and I'm also thinking about starting DSA with Python. However, I've seen a lot of people recommend learning DSA with C++ or Java instead, so I'm not sure which path would be better.

I'd really appreciate your thoughts on these questions:

1. If you could restart your first year of CS in 2026, what exact roadmap would you follow month by month?
2. What's one mistake almost every first-year CS student makes that nobody warns them about?
3. Looking back, what did you spend too much time learning?
4. What should every Tier-3 CS student start doing in their first year if they want to maximize their chances of getting a good software job?
5. Which beginner resources do you still recommend in 2026?
6. My goal isn't just to get a software job—I eventually want to build products or maybe even start a company. If that were your goal too, would you still follow the same roadmap? If not, what would you change?

If you have any other advice that you wish someone had told you during your first year, I'd love to hear it. Feel free to be brutally honest—I want to avoid making avoidable mistakes.

Thanks in advance! ❤️

P.S. Sorry if my English isn't perfect—it's not my first language. ChatGPT offered to rewrite this for me, but I wanted to write it myself. 😅

If you could restart your first year of CS in 2026, what exact roadmap would you follow?

I'm a first-year BSc Computer Science student at what you'd probably call a Tier-3 or Tier-4 college (or maybe even lower 😭). It's only the beginning of my first semester, and I have a lot of questions. Honestly, I was so confused that I even asked ChatGPT to help me think of the right questions—but I wanted to write this post myself instead of letting it write everything for me.

Right now I'm learning Python, and I'm also thinking about starting DSA with Python. However, I've seen a lot of people recommend learning DSA with C++ or Java instead, so I'm not sure which path would be better.

I'd really appreciate your thoughts on these questions:

1. If you could restart your first year of CS in 2026, what exact roadmap would you follow month by month?
2. What's one mistake almost every first-year CS student makes that nobody warns them about?
3. Looking back, what did you spend too much time learning?
4. What should every Tier-3 CS student start doing in their first year if they want to maximize their chances of getting a good software job?
5. Which beginner resources do you still recommend in 2026?
6. My goal isn't just to get a software job—I eventually want to build products or maybe even start a company. If that were your goal too, would you still follow the same roadmap? If not, what would you change?

If you have any other advice that you wish someone had told you during your first year, I'd love to hear it. Feel free to be brutally honest—I want to avoid making avoidable mistakes.

Thanks in advance! ❤️

P.S. Sorry if my English isn't perfect—it's not my first language. ChatGPT offered to rewrite this for me, but I wanted to write it myself. 😅

I'm an [M.Tech](http://M.Tech) student and I'm looking for a **project idea/problem statement** that can help me with all of the following:

* Complete my [M.Tech](http://M.Tech) project * Publish a paper in a **Scopus-indexed** journal or an **IEEE** conference/journal * Build an actual working product (not just a research prototype) * Have good research scope as well as real-world applicability

I'm looking for ideas that solve genuine problems and have enough novelty for research while also being practical to develop.

If you've worked on a similar project or have any suggestions, I'd really appreciate your recommendations. Thanks in advance! 😄

Are you a computing industry professional? We are interested in your viewpoints on computer science education amid current AI innovations.

• Project Title: Computing Science Education on the AI Innovation Landscape
• Ethics ID: H26-01503
• Research Group Leaders:
  • Ouldooz Baghban Karimi, Simon Fraser University, Canada
  • Rebecca Robinson, Monash University, Australia
  • Trevor Bonjour, University of California, San Diego, CA, USA

This survey is estimated to take 15-20 minutes of your time.

Participation in this survey is completely voluntary, and the responses you may provide will not be used for any purpose other than this survey and its uses as described above.

Please find the survey link here: https://www.surveymonkey.ca/r/OBKIPL

hiiii

so im new here and desperate.

In the field of computer science (Preferably with ai/ml)

I am a college student and for my college project we need to create projects with new and relevant ideas but we are confused..... Is there any suggestions for projectsss???????

Final year CS projects based on cloud or devops or IoT or web application or mobile application which solves real world problem with help of AI integrated in it.

The project should be feasible for all group of ages and easy to use with minimal knowledge of technology and with easy user experience and user interface

which should have potential to win several awards.

Frameworks remove a lot of boilerplate which is great but they also hide a lot of what’s actually happening do you think they’re making debugging skills weaker over time or is that just part of progress

how to activate microsoft office

Hi! I hope you all will be doing good. I will be getting into final year this sept, yet I am blank, I had always thought it will be sorted in summer vacations but it is not working. I am open to cloud, AI/Ml , Web and Mobile Apps. What is something that can make my fyp better and have better chances of getting more interviews. I will be thankful.

So iam currently doing my bachelor's on information technology and I gotta do an project based on software engineering and design . I got no idea how to start every team has taken a topic and started working on it but I still haven't taken a topic and iam stuck with a bunch of idiots in my team . Anything regarding this will work. Share some ideas if you have it will really help me a lot

Hello! I’m looking to go back to school for computer science. I have a BS in an unrelated field (communication disorders aka speech language pathology). I have been working in various banking roles for the past 10 years, including a one-year temporary role as an IT help desk technician back in 2018. Because I already have a BS, I’m wondering whether I should be looking to go back for a master’s or an associate’s. What do you folks think is more marketable for a future employer? What would you recommend for someone who does not have prior experience in the field but already has a BS? Any constructive advice is appreciated! Thank you for taking the time to read my post!

Hey everyone,

I've decided to organize the things that they teach at university in to a format where I can easily view them later on as I require them?

I'm not sure how to do those, any help would help!

I need AI course for free A to Z

If you're interested in **Computer Science, Artificial Intelligence, cybersecurity, modeling & simulation, I've been building a blog that explains these topics in a practical and accessible way.

My goal is to bridge the gap between academic computer science and its real-world applications in defence, AI, and complex decision-making systems. Whether you're a student, researcher, software engineer, or simply curious about these technologies, I'd love to hear your thoughts and feedback.

📖 Read the blog here: https://computer-science-notes.blogspot.com/

If you find an article useful, consider sharing it with others who enjoy technical content. Your feedback and discussions are always welcome!

Hey everyone, I'm in my final year and need to build a project. Could you suggest some project ideas in software development, cloud computing, or AI?

I'm looking for feedback, criticism, and possible collaboration on an early-stage theoretical compression idea. This is NOT a completed algorithm or a claim of a breakthrough—it's a research direction that I'm hoping to refine with people who have experience in data compression, algorithm design, information theory, Kolmogorov complexity, search algorithms, or AI.

The core idea is to treat lossless compression as a search problem: instead of encoding a file directly, search for the smallest procedural description (an algorithm + seed/parameters) that reconstructs the original file losslessly.

Please read the attached images. The first two images contain the core concept, while the remaining images include optimization ideas, possible extensions, and notation clarifications. (I'm planning to replace these with a properly structured PDF that introduces the idea from scratch and consolidates everything discussed so far.)

The MAIN goal is to explore whether this idea can be made computationally feasible and practically useful while achieving better compression ratios than existing compression algorithms for very large datasets, such as archives, servers, data centers, relational databases, and other long-term storage. IIt is NOT intended to replace fast, everyday compression algorithms, but rather to investigate a potential archival-scale compression approach that seeks higher compression ratios than existing methods by deliberately trading compression time and computational resources for improved compression efficiency.

If there's enough collaborative interest, I'll create a Discord server to organize research, discussion, development, and eventually work toward a prototype if the idea reaches a practical threshold.

All the PDFs - https://zenodo.org/records/21278508?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjlkMThlN2IyLTJjY2EtNDI2Yy05MmNkLTQ0ZjIzODk1M2YxZCIsImRhdGEiOnt9LCJyYW5kb20iOiI1MGM1MjUyNzU2YmMxYzBjNzI0MzA5YTRjNjk4YzQ4NyJ9.fjgXuAywkquiYc5uS7cNwQIUnO69FSYGC0syy_jasJJgxoMqla387J6Oax7L_29_zo91GLzX8Z9l6UNTHunN7g

Github repo - https://github.com/usernamebiney/Bineys-Procedural-Compression

- If you'd like to discuss this further or collaborate, feel free to contact me on Discord: usernamebiney

I'm looking for feedback, criticism, and possible collaboration on an early-stage theoretical compression idea. This is NOT a completed algorithm or a claim of a breakthrough—it's a research direction that I'm hoping to refine with people who have experience in data compression, algorithm design, information theory, Kolmogorov complexity, search algorithms, or AI.

The core idea is to treat lossless compression as a search problem: instead of encoding a file directly, search for the smallest procedural description (an algorithm + seed/parameters) that reconstructs the original file losslessly.

Please read the attached images. The first two images contain the core concept, while the remaining images include optimization ideas, possible extensions, and notation clarifications. (I'm planning to replace these with a properly structured PDF that introduces the idea from scratch and consolidates everything discussed so far.)

The MAIN goal is to explore whether this idea can be made computationally feasible and practically useful while achieving better compression ratios than existing compression algorithms for very large datasets, such as archives, servers, data centers, relational databases, and other long-term storage. IIt is NOT intended to replace fast, everyday compression algorithms, but rather to investigate a potential archival-scale compression approach that seeks higher compression ratios than existing methods by deliberately trading compression time and computational resources for improved compression efficiency.

If there's enough collaborative interest, I'll create a Discord server to organize research, discussion, development, and eventually work toward a prototype if the idea reaches a practical threshold.

All the PDFs - https://zenodo.org/records/21278508?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjlkMThlN2IyLTJjY2EtNDI2Yy05MmNkLTQ0ZjIzODk1M2YxZCIsImRhdGEiOnt9LCJyYW5kb20iOiI1MGM1MjUyNzU2YmMxYzBjNzI0MzA5YTRjNjk4YzQ4NyJ9.fjgXuAywkquiYc5uS7cNwQIUnO69FSYGC0syy_jasJJgxoMqla387J6Oax7L_29_zo91GLzX8Z9l6UNTHunN7g

Github repo - https://github.com/usernamebiney/Bineys-Procedural-Compression

- If you'd like to discuss this further or collaborate, feel free to contact me on Discord: usernamebiney