We wanted to find a way to stop real estate professionals from taking advantage of those who are not as literate in the language of real estate industry.

What it does

It helps make contracts easier to understand, and checks prices against similar houses sold to see if the pricing is fair.

How I built it

We built it with a Flask and Python stack. We used pyzillow to scrape information on houses and compare it with data of several other houses to predict a fair price. We then used flask to communicate to our html front end. We used NLP to summarize contracts that users are able to copy paste into our UI.

Challenges I ran into

We ran into problems connecting our front end to our backend.

Accomplishments that I'm proud of

We successfully implemented an NLP model to summarize text.

What I learned

We learned how to interface python with Flask.

What's next for JustHousing

We want to update our UI to make it look nicer and easier to understand.

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