Goku Homes

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Inspiration

We wanted to create a tool to facilitate home searching, helping estimate potential homes for users and raise awareness about the increasing prices within the housing market.

What it does

Goku Homes helps those in search for a home with the ability to forecast housing prices in certain areas based on the inputted location and salary with generative AI.

How we built it

Using the Streamlit ** library in combination with **OpenAI API, numpy, plotly, and general python libraries, we were able to create Goku Homes.

Challenges we ran into

We had difficulty implementing the OpenAI API, generating pictures with the AI, learning ** Streamlit** library, creating trendlines for the graphs, and cleaning the data.

Accomplishments that we're proud of

We were able to create interactive graphs with linear and quadratic regression and plotly, implement OpenAI API, and learn the Streamlit documentation

What we learned

We learned how to clean and read in data, use plotly, use OpenAI API, some css,styling, and the Streamlit library

What's next for Goku Homes

Implement and train our own AI, get access to a database API, move from Streamlit to React for more customization, and create more sliders for users to input data

Built With

• css
• numpy
• openai
• pandas
• plotly
• python
• streamlit