YouTube Learning Platform

Introduction

This project aims to facilitate learning from YouTube videos by providing automatic assessment generation based on the video content.

When a user shares a YouTube link:

• The platform extracts chapters from the video and generates summaries for each chapter using the transcript.
• Users can query the platform if they encounter difficulties understanding certain concepts.
• Assessments are generated based on the content covered in each chapter, aiding in efficient learning.

Installation

1. Clone the repository:

   git clone https://github.com/TaherTadpatri/youtubeLearning.git

Frontend

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Run the development server:

   npm run dev

   React server will be running on localhost:5173.

Backend

1. Navigate to the backend directory:

   cd backend

2. Create and activate a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On macOS/Linux
   venv\Scripts\activate  # On Windows

3. Install dependencies:

   pip install -r requirements.txt

4. Make migrations and run the development server:

   python manage.py makemigrations
   python manage.py migrate
   python manage.py runserver

   Django server will be running on localhost:8000.

Dependencies

Install all necessary dependencies listed in requirements.txt and package.json. Additionally, install the following:

• Ollama: https://ollama.com/ (Install both the application and the Python library via pip install ollama).
• Desired Model (e.g., DeepSeek): Download and run the desired model via Ollama (e.g., ollama run deepseek-coder).
• Question and Answer Generation Model:
  • Download the repository from GitHub.
  • Place the downloaded repository in the ./backend/app/ directory.

Note: If you encounter issues with the code, please raise an issue on the GitHub repository.

Results

1. Chapters of the YouTube video:

   

2. Summary of a chapter:

   

3. Query response:

   

4. Assessment: