This is a submission for the Bright Data AI Web Access Hackathon
What I Built
This AI agent tackles information overload by automating news collection and analysis. It fetches real-time articles, scrapes their content, then uses AI (like Ollama for sentiment analysis and embeddings for context) to enrich the data. All this structured, intelligent news is stored in a PostgreSQL database and easily viewed through a Streamlit dashboard, transforming a torrent of information into organized, personalized insights.
Demo
code link: https://github.com/catcodey/agent-hackathon
output: https://github.com/catcodey/agent-hackathon/blob/main/Screenshot%202025-05-26%20at%2012.22.38.png
How I Used Bright Data's Infrastructure
I used brightData's web scraper API to gather necessary data from BBC news.I was also able to monitor progress of data collection and store the snapshot data in Postgre for further processing.
User name :bhavna_b_baa952ae51dac930 (BBCoder)
Email : bhavna18182003@gmail.com
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