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Artificial Intelligence, Entertainment
Internal Tool
Product Design, Backend Development, Frontend Development, API Integration, Vector Database Integration, Deployment
CapHunt is an innovative tool developed by CodeFulcrum to enhance the searchability of YouTube video captions. It allows users to locate specific content efficiently through keyword-based timestamp search, bridging the gap between traditional keyword search and advanced semantic video search.
Integrated exact, semantic, hybrid, and QnA-based search methods to deliver fast, precise timestamp results.
Leveraged Weaviate vector database to enhance search accuracy through semantic embeddings.
Refined AWS EC2 memory allocation to support performance and scalability without compromising stability.
An in-app dashboard that automatically analyzes driver behavioral data and generates personalized reports for improved coaching.
Reduced user time spent locating video content with accurate timestamp targeting.
Significantly improved engagement with long-form videos by making navigation intuitive.
Demonstrated real-world application of semantic search and AI technologies in user-centric tools.
Delivered a fast, stable, and user-friendly experience with optimized backend and memory usage.
Increased Content Accessibility
Enhanced User Engagement
Efficient Video Navigation
Real-Time Search Performance
Demonstrates Practical AI Utility
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