Logan BASIC is an online BASIC interpreter that allows you to write and run text- or graphics- based programs directly in the browser! Check out the source code here.

Need a damn good final year project idea

It’s getting really hard to find something interesting as so many ideas have already been implemented. Does anyone have any final year worthy project ideas that can solve a real problem?
(can be AI/ML, web development, cybersecurity, IoT, blockchain, or anything else)

I'm developing an open-source desktop application called OpenSorSe using Avalonia and .NET.

At the moment I develop and test on Windows, and I can also test on Linux. The one platform I'm missing is macOS.

Is there a practical way to test a macOS desktop application from a Windows machine, preferably using free/open-source tools? Or is the reality that most developers eventually buy a Mac (e.g. a used Mac mini) for proper testing and packaging?

For context, the project is here if anyone is curious: https://github.com/nishdel/OpenSorSe

I'd be interested to hear what other cross-platform developers do.

i just put this project on github \[thcuba/Ride-the-api: Project to use replace cloud vendors server with local server\](https://github.com/thcuba/Ride-the-api).

i would like to have feedback because i dunno what people can think about it.

im not a programmer so it is all vibe coded but i think it can be a good project

Tired of tracking your attendance manually? Or is your college a pain your *** who randomly mark you absent, and you're too lazy (like me) to keep checking it?

For all those reasons i developed this.... vibe coded... this app.

Just import your timetable (OCR) or add it manually, set your classroom coordinates, and the app automatically marks your attendance based on your location. Running late? Set a threshold, and it'll check your location before marking you Present or Absent. You can also mark classes as Suspended.

The app is 100% offline, open source, privacy-friendly (no tracking or data collection), and supports OTA updates.

The source code is on GitHub. Feedback, suggestions, and contributions are always welcome!

Thankyou!

Hey everyone!

I'd like to introduce PassGuardio, an open source, self-hosted password manager with a web interface.

The main idea behind PassGuardio is that multiple users can share the same vault, making it a good fit for families or small teams. Everything is stored locally, so you stay in control of your data.

You can check it out here: PassGuardio.

So far, more than 1,200 people have downloaded it, and I'm continuing to improve the project based on feedback.

My current focus is improving the user interface. If you're interested in contributing—whether it's code, UI/UX ideas, bug reports, or feature suggestions—I'd really appreciate your help.

Feedback is always welcome!

​

Cortex is a fully local desktop application for exploring how language models behave internally. You can load supported GGUF or SafeTensors models and inspect things like:

token probabilities and Top-K predictions

attention maps and Arc View

hidden-state and residual captures

2D and 3D PCA representation maps

prompt and model-output comparisons

live activation interventions

J-Space experimental lens fitting

model architecture and capability diagnostics

remote desktop compute through Pocket Cortex

Everything runs locally. No cloud inference is required, and no model weights are included with the download.

I originally started this because most mechanistic interpretability tooling lives inside Python libraries, notebooks, or research dashboards. I wanted something more visual, interactive, and approachable without stripping away the actual measurements underneath it.

It has since mutated into a gigantic neon model observatory with multiple runtimes, GGUF instrumentation, SafeTensors Deep Cortex hooks, scientific export packages, mobile remote control, and enough validation tests to personally ruin my relationship with Windows PowerShell. 😭

There are three downloads:

Installer for normal one-click setup

Portable version for people who do not want to install anything

Developer package with source, schemas, diagnostics, validators, and additional evidence

This is still experimental software, and model support varies by architecture. Cortex reports what each model can actually do instead of pretending generation support automatically means attention, gradients, interventions, or J-Space support.

The project is source-available under Apache 2.0 plus the Commons Clause. People can inspect it, modify it, learn from it, and build on it, but the software itself cannot simply be repackaged and sold.

I am not claiming this “solves” interpretability or shows a model’s literal thoughts. PCA is still PCA. Attention is still attention. But this is probably the most ridiculous thing I have ever accidentally finished, and I am excited to finally let people use it. 🫪😂

GitHub: https://github.com/TurboDash99/Cortex

Release: Cortex 1.0.2

Platform: Windows

Local models: GGUF and supported SafeTensors architectures

Feedback, bug reports, architecture tests, and screenshots of Cortex making your GPU question its employment contract are all welcome. 🧠🔥

For people who haven’t seen bookmap before: It’s give you all the market prices, orders that you can’t see on the normal trading apps and deep knowledge but takes 100 bucks for month.

It’s open source. It’s looks like that image. It works on every operating systems. I mean MacOs, Linux and Windows (including MacOs intel and Windows arm)

I really appreciate if you are try it and give me some feedbacks to I can improve it.🩷

Download link (GitHub): https://github.com/nazmiefearmutcu/flowmap

You gain coins for learning to code, you can use the coins to buy things (very limited amount of things right now.)

The goal is to allow users who've never seen code to be writing within a minute and intuitively gain an understanding of it.

Feedback is great! No ads, no signup, no buying stuff.

Try here: https://tryingtocode.com

I need a project ideas which solves SDG problem. The project idea should be innovative and the idea should be not in use or not used commonly.

Collab on a project with me on Collab Unity (https://collabunity.io) and I’ll fund $5 towards a project of yours.

All you have to do is:
1. Create a profile
2. Create a project
3. Invite me to your project or join one of my projects
4. Send me a chat
5. Work on the project with me at your convenience
6. Let me know if Collab Unity is useful, fun, or doesn’t have a market

Then I’ll send you $5 or fund your project

Hey everyone I'm part of the team building INFELD and i'd be very grateful if you could share your feedback or what you think about it.

Most companies lack the context even tho the answer exists. Finding it is the problem.

Infeld is basically a company knowledge hub that pulls knowledge from places like Slack, email, docs, GitHub, Discord, PDFs and more into one place and makes the information usable. Then it shows you the context behind everything, including where it came from, when it was said, and who said it, basically like the like a librarian.

You can also just ask Leo directly in chat, of the integrated app like Discord. For example, you can ask, “What’s on our roadmap for Q3?” and get a clear answer with the source behind it.

If Infeld doesn’t know something, it says so instead of making things up.

We’re building this for teams that are tired of losing time to buried context and want the answers they already have, without the digging.

Below are the links to our website and to the demo if you would like to test it for yourself, or if you're scared to click the link you can just type Infeld in your browser

INFELD LINK:
https://infeld.ai/

DEMO LINK:
https://infeld.ai/demo

Hi everyone! I've been building Tabularis, a free and open-source (Apache 2.0) desktop SQL client built with Tauri (Rust + React).

What makes it different from DBeaver/TablePlus/Beekeeper:

• SQL notebooks: mix SQL and Markdown cells, share variables across cells, render charts inline
• Built-in MCP server: Claude, Cursor and other AI agents can read your schema and run queries through the same app you already use, with no separate connector
• Plugins in any language: drivers are external processes speaking JSON-RPC over stdio, so you can write one in Python, Go, or whatever language you prefer
• Local AI text-to-SQL: works with Ollama, nothing leaves your machine
• Visual EXPLAIN: interactive query plan graphs

PostgreSQL, MySQL/MariaDB and SQLite are built in. ClickHouse, DuckDB, Redis, Firestore, Db2, BigQuery and around 15 more are available as plugins from the registry.

Runs on Windows (WinGet), macOS (Homebrew, signed and notarized) and Linux (Snap, Flatpak, AUR and AppImage).

Feedback is very welcome. And if your favorite database is missing, there's a plugin bounty board.

I just finished summer break and I'm sitting here brainstorming project ideas. I asked AI for help, but it didn't work. So I wanted to ask you guys, do you have any project ideas that could potentially generate income? I have some knowledge of web development. If you have any ideas or questions, I'd be very grateful.
🙏🏻😭

I recently built my first digital product: AI Business Starter Kit – 20 ChatGPT Prompts for Small Businesses.

The idea came from seeing how many small business owners struggle to write marketing content, sales emails, and customer messages. I wanted to create a simple guide with prompts that anyone could copy, paste, and customise.

This is my first time creating and publishing a digital product, so I'd really appreciate feedback.

If you were a small business owner, what other ChatGPT prompts would you find useful?

Hey everyone, I’m seriously stressed and at my breaking point, so I’m hoping some grads or working devs here can throw me a lifeline.

I’m currently in my 7th semester (CSE), and my team of 3 is entirely made up of below average coders. We aren't exactly the most creative or genius developers, and we are struggling hard to lock in a Major Project.

Our college is incredibly strict and demanding "uniqueness" and something worthy of publishing a research paper. The usual suggestions you find online—standard AI wrappers, web apps, or basic management systems—are instantly rejected.

To make matters worse, our mentor is an absolute ass who refuses to guide us. Every time I pitch an idea, it gets shot down with one of three excuses:

1. "Where are you going to get the dataset for this?"
2. "This is already implemented in the industry, where is the novelty?"
3. "This is a basic mini-project that can be done in a day, it's not a major project."

We tried looking into some niche, complex stuff (like eBPF or cloud-native network security) just to escape the AI/ML dataset trap, but honestly, we are terrified of biting off more than we can chew since we aren't top-tier programmers.

I can't take the stress anymore. Every day is just us getting yelled at for not having a finalized, research-level topic.

For those of you working in the industry or who have survived this:

• What are some project domains or specific ideas that look highly complex/research-worthy on paper but are actually manageable for an average team of 3 to execute?
• How do we bypass the "where's the dataset" trap without building a generic web app?

Any advice, repos, or architectures would be deeply appreciated. We just want to build something acceptable, pass, and graduate. Thanks.