On the Subject of Video Chaptering
• Built a Video Chaptering tool that processes YouTube URLs to extract video details (title, duration, thumbnail) and generate transcripts using LangChain and PyTube.
• Implemented language detection and automatic translation of transcripts to English using Googletrans, ensuring usability across languages.
• Utilized LangChain, Prompt Templates, and LLM model Llama 3.1 (Ollama) to create accurate, structured chapters for video content.
• Enabled efficient and comprehensive content segmentation, enhancing accessibility and ease of navigation for users.
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Technologies Used