V

Ved Vekhande

Participant

Multimodal Video Search using Videodb FastAPI Streamlit and OpenAI

AI Demos Website

Individual

July 26, 2025 at 07:55 PM

Project Demo

Submission Details

hear-about-us

AI Demos Website

name

Ved Vekhande

Project Title

Multimodal Video Search using Videodb FastAPI Streamlit and OpenAI

Describe 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.

Share a 3–5 minute demo video (Google Drive link only) explaining your core idea, tools used (including VideoDB), challenges faced, and how you improved your solution — make sure the link is viewable

https://www.veed.io/view/226224c0-4ed7-44c4-96ba-43ed8dcb10c3?panel=share

Is this project your original and proprietary work?

Yes

Does it include any private, sensitive, or restricted code or content?

No

Do you give us (AI Demos & VideoDB) permission to feature your work on our website and share it with our community (with full credit)?

Yes

Do you consent to us showcasing your name/profile on our social media platforms and YouTube

Yes

Are you open to freelance, internship, or collaborative opportunities based on this project?

Yes, I’m interested

Comments (0)

Get In Touch

Connect with Ved Vekhande to learn more about their project.