This project is an online house price prediction tool designed to estimate the prices of houses based on various input features. It uses machine learning to make predictions and is deployed using Streamlit. You can try out the tool at the link below:
🌐 Live Demo: Online House Price Predictor
The Online House Price Prediction application allows users to input property details and receive an estimated price for the house. The model has been trained using a dataset of house prices and related features to predict prices based on user input.
- Predict house prices based on various input factors (e.g., location, size, number of bedrooms).
- Simple and intuitive user interface.
- Real-time predictions powered by machine learning.
- Easy-to-use web application deployed using Streamlit.
- Access the Application: Visit the online house price predictor.
- Input Features: Provide the necessary details like location, square footage, number of bedrooms, bathrooms, etc.
- Get Prediction: The application will instantly display the predicted price of the house.
- Frontend: Streamlit
- Backend: Python (with machine learning libraries like Scikit-learn, Pandas)
- Deployment: Streamlit Cloud