MLheads's repository for HackUPC 2023
Languages:
- Our project uses the Restb.ai dataset to predict the price of a property based on its features (size in square meters, number of rooms, ...) and then how this price can be modified by adding other features to it.
- Users can insert their own features to get a price range based on the AI model
- A heatmap of the average prices per neighborhood can be plotted in the "Value Heatmap" tab
- You can also explore the relevant features and explainable AI methods with an interactive sidebar
- Generate title and text for the real estate property using OpenAI's API
- The average sale per month (€) in each region in Spain is shown in the last tab
Access to the Restb.ai dataset: https://restb-hackathon.s3.amazonaws.com/real_estate_dataset/hackupc2023_restbai__dataset.zip
- Technologies:
Domain.com,SHAP,Streamlit,Counterfactual,Git - Datasets:
Restb.ai's API,OpenAI's API,OpenStreetMap - Languages:
Python,HTML,CSS
- Diaaeldin Shalaby (Egypt)
- Lluis Llull Riera (Spain)
- Gabriel Orbe (United States)
- Nathanya Queby (Indonesia)