Inspiration
Normal people don't have access to expert real estate data to make informed decisions
What it does
It scrapes real estate data as well as a real estate data analytics provider to get daily real estate data like per square foot price, rental per square foot price, volatility, sale inventory, and more
How we built it
Built a huge Node.JS and TypeScript service with proprietary software to combine it with an AI to make an expert AI Agent capable of giving real estate data
Challenges we ran into
Problems with parsing the data
Accomplishments that we're proud of
We got it running!
What we learned
A lot about AI agents
What's Next for Multi-Agent Network Service for Real-time Real Estate Data
Keep updating with more data like investor activity, big corporations like Blackstone's activity, etc, and fine-tune the LLM to make deductions on how these impact property prices
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