🏠 About the Project

Never undersell the memories you made in your home.

Using our platform, everyone can insert the features of their property to get an accurate estimate of the real estate features in comparison to others in the region, then automatically generate a catchy title and description to market it to the public.

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

Go to https://mlheads.streamlit.app to check out our working prototype or here to check the GitHub repository.

🎯 Methods

• Technologies: Domain.com, SHAP, Streamlit, Counterfactual, Git

• Datasets: Restb.ai's API, OpenAI's API, OpenStreetMap

• Language: Python, HTML, CSS

🙌 Results & Final Presentation

We managed to:

• Clean and preprocess 10.000 rows of Restb.ai's dataset for training and validation

• Developed two explainable AI algorithms with SHAP and Counterfactual to assess the relevant features

• We learned from 0 how to make an explainability of the models and turn uncertainties into explanations

• Created our own original dataset of coordinates (latitude and longitude) of provinces in Spain for visualization

• Built a working frontend-backend pipeline with an interactive user interface that has been deployed online

• Collaborated and had lots of fun together despite all the above challenges whilst completing our project in less than 36 hours!

🏆 Awards

HackUPC 2023 - Restb.ai Challenge Winner

✨ Team

• Diaaeldin Shalaby (Egypt)

• Lluis Llull Riera (Spain)

• Gabriel Orbe (United States)

• Nathanya Queby (Indonesia)