missedmylecture

MissedMyLecture is a web application designed to help students quickly get up to speed on missed lectures.

What it does

1. Upload or paste your lecture notes into our user-friendly interface.
2. Our system, powered by large language models (LLMs), processes the notes to extract key concepts.
3. We automatically generate LaTeX-formatted content for easy academic reference.
4. You receive curated YouTube video recommendations that provide additional learning resources on key topics.

How we built it

We leveraged a powerful tech stack for this project:

• Frontend: React for a smooth, responsive user interface
• Backend: Flask for robust server-side processing
• Natural Language Processing: Large Language Models (LLMs) for intelligent note analysis
• Document Generation: Automatic LaTeX generation for high-quality academic documentation

What we learned

• Advanced techniques in natural language processing and LLM integration
• The intricacies of LaTeX document generation
• Balancing backend processing with frontend responsiveness

Setup

To set up the project locally:

1. Ensure you have Python 3.9+ and npm installed
2. Clone our repository
3. Install Python dependencies: pip install -r requirements.txt
4. Start the backend: python backend/app.py
5. Navigate to the frontend directory: cd frontend/missedmylecture
6. Run the frontend: npm run dev

Note: A working LaTeX compiler is required for full functionality.

Built With

• anthropic
• flask
• google
• latex
• pillow
• pymupdf
• python
• react
• tailwind
• typescript