CodeAGram

About CodeAGram

Inspiration

Have you ever been deep into a LeetCode grind, only to find the perfect solution on YouTube—except it's in a language you don’t understand? It’s frustrating, and we’ve been there too. Whether it's Python, JavaScript, or C++, learning from solutions in unfamiliar languages can slow down progress.

That's where CodeAGram comes in. Our goal is simple: bridge the gap between coding languages and help programmers understand solutions in their preferred language.

What We Learned

Building CodeAGram taught us a lot about:

• Language translations in code – Different programming languages have unique syntax, built-in functions, and best practices.
• Using AI to bridge gaps – We explored how LLMs like GPT can accurately translate code while maintaining logic.
• FastAPI and web integration – Making an interactive API that works seamlessly with a frontend.

How We Built It

• Backend: We used FastAPI to handle translation requests efficiently.
• Frontend: A simple HTML, CSS, and JavaScript interface to allow users to input code and choose languages.
• AI Integration: OpenAI's API helps process and translate code with contextual understanding.

Challenges We Faced

• Preserving logic – Translating code isn't just about syntax; it's about maintaining intent.
• Handling edge cases – Some translations require additional adjustments for accuracy.
• API constraints – Managing rate limits and optimizing performance were key considerations.

Conclusion

CodeAGram makes it easier for programmers to learn from solutions written in different languages. Whether you're solving a tough problem on LeetCode or just curious about how the same code would look in another language, we've got you covered!

Built With

• css
• fastapi
• github
• html
• javascript
• openai
• python