The textbook your professor forgot to write.

UnSlide is an AI-powered platform that bridges the gap between cryptic professor slides and comprehensive textbooks. It ingests PDF/PPTX slides and uses advanced LLMs to generate rich, context-aware narratives, effectively "teaching" the content that was missing from the bullet points.

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🎥 Demo

demo.mov

(Watch the video above to see UnSlide in action)

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🚀 Key Features

• 📄 Slide Ingestion: Upload your lecture slides (PDF support).
• 🧠 AI Expansion: Automatically converts bullet points into full, didactic explanations.
• 👀 Split-View Interface: Study the original slide alongside the generated "textbook" content.
• 🔗 Contextual Resources: Auto-suggested readings, videos, and definitions to deepen understanding.
• 💾 Export: Save your enhanced study guide as a PDF.

🛠️ Tech Stack

• Frontend: Next.js, React, Tailwind CSS, TypeScript
• Backend: FastAPI, Python
• AI/ML: Large Language Models (Gemini/OpenAI) for text generation and reasoning.

🏁 Getting Started

Follow these instructions to set up the project locally.

Prerequisites

• Node.js (v18 or higher)
• Python (v3.10 or higher)
• Git

Installation

1. Clone the repository

   git clone https://github.com/VihaanMotwani/UnSlide.git
   cd UnSlide

2. Environment Setup

   Create a .env file in the backend directory with your API keys:

   # backend/.env
   GOOGLE_API_KEY=your_google_api_key
   # OR
   OPENAI_API_KEY=your_openai_api_key

3. Run the Application

   We provide a convenience script to start both the backend and frontend:

   chmod +x dev.sh
   ./dev.sh

   Or run them manually:

   Backend:

   cd backend
   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt
   uvicorn main:app --reload --port 8000

   Frontend:

   cd frontend
   npm install
   npm run dev

4. Access the App Open http://localhost:3000 in your browser.

📖 Usage

1. Upload: Drag and drop your lecture PDF on the home screen.
2. Process: Wait for the AI to analyze and expand the content.
3. Study: Use the split-view interface to read the generated explanations while referencing the original slides.
4. Export: Click the download button to save your notes.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📄 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

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Built with ❤️ for students everywhere.