🎓 Clip Scholar

AI-powered platform that converts YouTube videos into structured learning materials.

Group Members

Name	Email
Madhan S	22bds036@iiitdwd.ac.in
Bharath L	22bds013@iiitdwd.ac.in
Gnanesh A R	22bds023@iiitdwd.ac.in
Gopal	22bds025@iiitdwd.ac.in
Nachiket Ganesh Apte	22bds041@iiitdwd.ac.in

About Clip Scholar

In today’s digital education landscape, video-based learning is widely used but comes with challenges like time-consuming information retrieval and varying content density.
Clip Scholar addresses these challenges by leveraging Large Language Models (LLM) to automatically generate:

• 📄 Structured Notes from video transcripts
• ❓ Interactive Quizzes for self-assessment
• 🎴 Flashcards to reinforce key concepts

This AI-powered solution enhances accessibility and personalization in learning.

Features

✅ Transcript Extraction – Retrieves YouTube video transcripts
✅ Notes Generation – Converts transcripts into well-structured notes
✅ Quiz Creation – Generates MCQs, Fill-in-the-blanks, and Q&A formats
✅ Flashcard Development – Creates flashcards for key concepts
✅ User-friendly UI – Interactive and responsive design for seamless usage

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Project Pipeline

System Architecture

Notes Generation Data Flow Diagrams(DFD)

Flashcards Generation DFD

Quiz Generation DFD

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Tech Stack

• Backend: Python (Flask), YouTube Transcipt API or Supadata (For Youtube transcription extraction)
• AI Model: Mistral-Large-2411 (LLM for text generation tasks)
• Frontend: HTML, CSS, Bootstrap

Project Structure

.
├── __pycache__/               # Compiled Python files
├── Templates/                 # Stores frontend HTML templates
│   ├── index.html             # Main UI for Clip Scholar
│   ├── flashcards.html        # Flashcards interaction page
│   └── quiz.html              # Quiz interaction page
├── README.md                  # Project documentation
├── app.py                     # Flask server handling API requests
└── requirements.txt           # Dependencies

Installation & Setup

1️. Clone the Repository

git clone https://github.com/your-username/clip-scholar.git
cd clip-scholar

2. Generate Mistral API key(free)

• Get the Mistral API key from their website.
• Insert the key at line 15. You may add "Bearer API_KEY" instead of just key if it is not working.

3. Install the Dependencies

pip install -r requirements.txt

4. Run the Flask Server

python app.py

The application should now be running at http://127.0.0.1:5000/

📖 Usage Guide

1️. Enter the Youtube URL

2. Notes get generated. Next either we can go to Flashcard or QuizGeneration

3. Generate the Flashcards

4. Generate the Quiz

5. Automatic Evauation

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