YT Buddy

AI-Powered YouTube Learning Assistant

YT Buddy is an end-to-end AI application that transforms YouTube videos into interactive learning experiences. Users can generate intelligent summaries, chat with video content using RAG (Retrieval-Augmented Generation), translate summaries into multiple languages, and export results as PDFs. https://ytbuddy-learnaccordingtoyou.streamlit.app/

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Features

Transcript Extraction

• Extracts transcripts directly from YouTube videos.
• Handles long-form educational videos and podcasts.

Intelligent Summarization

• Direct summarization for short videos.

• Map-Reduce summarization for long videos.

• Generates:

  • Short Summary
  • Detailed Explanation
  • Key Takeaways
  • Important Concepts
  • Actionable Insights

Smart Chunking

• Automatically detects transcript length.

• Switches between:

  • Direct Processing
  • Chunk-Based Processing

• Uses overlapping chunks to preserve context.

Chat With Video (RAG)

• Ask questions about video content.

• Uses:

  • Sentence Transformers
  • FAISS Vector Database
  • Groq LLM

• Retrieves relevant transcript chunks before generating answers.

Translation Support

Translate summaries and answers into:

• English
• Hindi
• Bengali
• French
• Spanish

PDF Export

Export:

• Video Summary
• Key Concepts
• Chat History

Video Metadata

Displays:

• Video Title
• Channel Name
• Publish Date
• Duration
• Thumbnail

Cloud Deployment

• Streamlit Cloud Deployment
• GitHub Actions CI/CD Pipeline

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Architecture

YouTube URL
      ↓
Transcript Extraction
      ↓
Smart Chunking Engine
      ↓

Short Video?
      ↓
Direct Summary

Long Video?
      ↓
Chunking
      ↓
Map-Reduce Summarization

      ↓

FAISS Vector Store
      ↓
Question Answering (RAG)
      ↓
Groq LLM
      ↓
Answer Generation

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RAG Pipeline

Transcript
      ↓
Chunking
      ↓
Embeddings
      ↓
FAISS
      ↓
Similarity Search
      ↓
Top-K Relevant Chunks
      ↓
Groq LLM
      ↓
Answer

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Tech Stack

Frontend

• Streamlit

LLM

• Groq
• Llama 3.1 8B Instant

NLP

• Sentence Transformers
• LangChain

Vector Database

• FAISS

Data Processing

• YouTube Transcript API
• PyTube

PDF Generation

• FPDF2

Deployment

• Streamlit Community Cloud
• GitHub Actions

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⚙️ Installation

Clone the repository:

git clone https://github.com/sarkarshrayan2-max/yt_buddy.git
cd yt_buddy

Create a virtual environment:

python -m venv venv

Activate it:

Windows:

venv\Scripts\activate

Linux / Mac:

source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

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Environment Variables

Create a .env file:

GROQ_API_KEY=your_groq_api_key

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Run Locally

streamlit run app.py

Future Enhancements

• Playlist Summarization
• Timestamp-Based Citations
• Multi-Video Knowledge Base
• Audio Upload Support
• User Authentication
• Persistent Chat Memory
• Advanced PDF Formatting
• Support for More Languages

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Author

Shrayan Sarkar

B.Tech – Electronics & Computer Science Engineering

Machine Learning & AI Enthusiast

GitHub: https://github.com/sarkarshrayan2-max

LinkedIn: Add your LinkedIn profile here

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