hear-about-usAI Demos WebsitenameVed VekhandeProject TitleMultimodal Video Search using Videodb FastAPI Streamlit and OpenAIDescribe what your project does?This project solves the pain of finding specific moments in long videos like a goal in a sports match or a quote in a lecture by enabling natural language search over video content. It uses VideoDB to ingest videos, extract multimodal embeddings (from audio, speech, and visuals), and perform semantic search. When a query is made, the system intelligently maps it to the most relevant video segments using OpenAI LLM and returns streamable clips via a FastAPI backend and Streamlit frontend.Is this project your original and proprietary work?YesDoes it include any private, sensitive, or restricted code or content? NoDo you give us (AI Demos & VideoDB) permission to feature your work on our website and share it with our community (with full credit)?YesDo you consent to us showcasing your name/profile on our social media platforms and YouTubeYesAre you open to freelance, internship, or collaborative opportunities based on this project?Yes, I’m interested