Multi-agent video insights
YouTube Trend Analysis
A tool that scrapes YouTube channels and uses multi-agent AI to identify key topics and trends. Shipped as a Streamlit web app for interactive trend visualisation.
CrewAIBright DataStreamlitPython
- Role
- AI engineer
- Timeline
- 2024
Problem
Creators and analysts need to spot emerging topics on YouTube fast, but manual scanning of channels does not scale.
Approach
- 01Scraped channel metadata and transcripts using Bright Data.
- 02Ran a CrewAI multi-agent pipeline to cluster topics, extract themes and rank trends.
- 03Shipped a Streamlit app with interactive filters and topic drilldowns.
Stack
- CrewAI
- Bright Data
- Streamlit
- Python
- pandas
Outcomes
- →Surfaced non-obvious trends across niches with cited source videos.
- →Turned a multi-hour manual scan into a 2-minute dashboard.