Inspiration

Mind Learning aims to provide students with on-demand, interactive practice problems and explanations, making complex concepts more accessible in a game-like, supportive environment.

What it does

The platform generates multiple-choice questions with real-time hints and explanations. It offers immediate feedback, helping students understand and learn from mistakes effectively.

How we built it

Using React for the frontend and FastAPI for the backend, we incorporated Gemini for LLM-driven prompt engineering to generate tailored questions, hints, and explanations.

Challenges we ran into

Filtering user input initially led to irrelevant results, but we resolved this through targeted prompt engineering, improving AI response relevance.

Accomplishments that we're proud of

We're proud of creating an intuitive and visually appealing UI. Our team worked hard to ensure that the design is not only functional but also engaging and accessible. This polished interface enhances the overall user experience, making learning both enjoyable and effective.

What we learned

We learned how to use FastAPI and Intel Tiber AI Cloud for a scalable, responsive system and gained insights into prompt engineering to refine AI responses.

What's next for Mind Learning

We plan to add diverse question formats, personalized progress tracking, advanced AI features, and enhanced accessibility to further support individual learning needs.

Front-end: https://github.com/danhpham2000/HackTX-Project-Frontend.git

Back-end: https://github.com/danhpham2000/HackTX-Project-Backend.git

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