FairHome

Inspiration

Being tenants ourselves, we relate to this problem closely.

What it does

Looks at historical records and similar cases to advice and get probability of success

How we built it

we aren't scraping data yet, rather using the pdfs. We are using fetch.ai to monitor addition of any new legal documents and adding it to the RAG database. This helps tenants with up to date information

Challenges we ran into

Time Ensuring high quality result. Team coordination

Accomplishments that we're proud of

We got something working full stack! We are proud of it

What we learned

rag, pinecone, fetchAI, agents, Azure OCR

What's next for FairHome

More data, more features

Built With

• agents
• fastapi
• fetchai
• pinecone
• python
• rag
• react