Bangalore House Price Prediction

This Project predicts the price of a Real Estate property on the basis of Features like: area_type, location, total_sqft, balcony, bathroom and BHK

🌐 Live Demo

Visit the live application: Bangalore House Price Predictor

🏗 Project Structure

├── Bengaluru_House_Data.csv    # Original dataset
├── Bengaluru_Real_Estate_Price.ipynb    # Data analysis and model building
├── Cleaned_data.csv            # Preprocessed dataset
├── Columns.json                # Model features
├── bangalore_home_prices_model.pickle    # Trained model
├── app.py                      # Streamlit web application
├── requirements.txt            # Python dependencies
└── README.md                   # Project documentation

---

🚀 Getting Started

Prerequisites

• Python 3.7+
• pip package manager

Installation

1. Clone the repository

   git clone https://github.com/AnujSaha0111/house_price_predictor.git
   cd house_price_predictor

2. Install dependencies

   pip install -r requirements.txt

3. Run the application

   streamlit run app.py

---

💡 Usage

1. Enter the required property details:
   • Total square footage
   • Number of balconies
   • Number of bathrooms
   • BHK (Bedroom, Hall, Kitchen)
   • Area type
   • Location
2. Click "Predict" to get the estimated property price

---

🔧 Model Information

• The model is built using scikit-learn
• Features include area type, location, total square footage, balconies, bathrooms, and BHK
• Prices are predicted in lakhs/crores (Indian currency format)

---

Data Collection

Data From Kaggle: https://www.kaggle.com/datasets/amitabhajoy/bengaluru-house-price-data

---