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Letting Data Speak!

Case Study

AI-Powered YouTube Video Highlights and Interactive Q&A

A content platform seeking to enhance user engagement with YouTube podcast videos.

About the Client

A content platform seeking to enhance user engagement with YouTube podcast videos.

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Challenge

The client faced two main challenges:

  1. Users struggled to locate and focus on the most significant moments and insights within lengthy YouTube podcast videos.

  2. There was a lack of an interactive system for answering specific questions related to the podcast content, limiting user engagement and knowledge retrieval.

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Key Results

  • Generated concise and engaging video highlights, reducing viewing time by 60% to 80% while maintaining key content.

  • Implemented an interactive Q&A chatbot, enabling a brand new way of user engagement for YouTube videos and improving content accessibility.

Solution

The solution leveraged GenAI technology to address the challenges:

  • Video Highlight Generation:Developed an algorithm to accept YouTube video links and retrieve transcripts. Utilized advanced natural language processing to identify and extract key moments from transcripts. Implemented a video processing system to snip and stitch relevant segments, creating a highlights video. The highlights video reduces the length of the video by 60% to 80% while still including all the key information from the original video.

  • Interactive Q&A Chatbot:Integrated a chatbot system capable of understanding and responding to user queries based on podcast content. Implemented context-aware responses, providing answers along with relevant video timestamps. Designed fallback mechanisms for out-of-context questions, returning to the video's main topic.

  • Workflow:The user submits a YouTube podcast video link. The system retrieves and processes the video transcript. AI algorithms extract highlights and generate a condensed video. Users can interact with the chatbot for specific questions about the content.

  • Future Enhancements:Planned development of categorized snippet generation (e.g., motivational discussions, productivity tips, business-related advice).

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Technologies Used

  • Large Language Model (LLM) and Generative AI (GenAI)

  • Natural Language Processing (NLP)

  • Video Processing

  • Chatbot Development

  • Speech-to-Text Conversion

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