Future Foundations uses AI to change how we look at and guess property prices in Bangalore.
Future Foundations is an AI-driven web application aimed at transforming the real estate landscape in Bangalore by offering precise house price predictions. Utilizing a rich dataset alongside sophisticated machine learning algorithms, our tool empowers homeowners, investors, and real estate professionals to make well-informed decisions. Dive into how technology is reshaping property buying and selling in one of India's most vibrant cities.
- Location-Based Price Prediction: Calculate the price of houses across various locales in Bangalore.
- In-depth Market Insights: Gain valuable insights into real estate trends within selected neighborhoods.
- Intuitive User Interface: Built using Streamlit, the application provides a straightforward and engaging user experience.
- Python
- Pandas
- NumPy
- Matplotlib
- Streamlit
- Scikit-learn
The application is live and can be accessed at Banglore House Prediction.
To get a local copy up and running, follow these simple steps.
Ensure you have Python installed on your system. The application was developed using Python 3.8.
Get the project up and running on your local machine by following these steps:
- Clone the repository:
git clone https://github.com/abdulfaheemaf/Banglore_House_Pred.git
cd Banglore_House_Pred bash- Install the required dependencies:
pip install -r requirements.txt- Launch the Streamlit application:
streamlit run app.pyUpon starting the application, use the sidebar to enter details about the property you're interested in, such as its location, area type, square footage, and the number of bedrooms, bathrooms, and balconies. Hit "Predict" to see the estimated price along with relevant analytics.
🔗 Check out the live application here: https://banglore-house-pred-af011.streamlit.app/
Contributions to the House Price Prediction project are warmly welcomed. Feel free to submit issues or pull requests.