Shravan is an AI-powered tool designed to process YouTube videos by converting speech to text, translating transcripts, summarizing content, and enabling contextual Q&A. This project leverages on Speech Recognition, Advance NLP, Hugging Face, and Seq2Seq LLMs

• 🎤 Video-to-Audio Conversion: Extracts audio from locally downloaded YouTube videos.
• 📝 Speech-to-Text Transcription: Converts audio chunks into text using PyDub and Wave2Vec.
• 🌍 Translation Support: Translates transcripts into a user-specified language.
• 📄 Summarization: Provides concise summaries of the original transcript.
• 🤖 Contextual Q&A: Uses FAISS + FLAN-T5 to allow users to ask questions about the video content.
• ⚡ Fast and Efficient: Optimized pipeline for processing large video files quickly.

git clone https://github.com/sagarvk24/EchoTranscribe-AI-YouTube-Video-Processing-with-Speech-to-Text-Q-A-and-Translation.git
cd EchoTranscribe

• 🤗 Hugging Face Transformers (For Q&A & Summarization)
• 🎙️ PyDub, HuggingSound and Wave2Vec (ASR and Speech-To-Text)
• 📦 FAISS (Vector Database for efficient Q&A)
• 🌍 Google Translate API (Text Translation)
• 🏗 PyTorch (Model Inference)

Contributions are welcome! Feel free to fork the repo, create a branch, and submit a pull request.

git checkout -b feature-branch

This project is licensed under the MIT License. See LICENSE for details.

For any queries, reach out via LinkedIn or open an issue on GitHub.

🚀 Happy Transcribing & Exploring!