🏠 House Price Prediction using Machine Learning

A Machine Learning web application that predicts house prices based on Area, Bedrooms, and City using Linear Regression. The application is built with Python, Scikit-learn, and Streamlit, and is deployed online using Streamlit Cloud.

🚀 Live Demo

🔗 https://abhi7232-house-project-app-kmqowd.streamlit.app/

📂 GitHub Repository

🔗 https://github.com/Abhi7232/House_Project

✨ Features

• 🏠 Predict house prices instantly
• 📍 Select city from dropdown
• 📐 Enter house area
• 🛏️ Enter number of bedrooms
• 🤖 Machine Learning prediction using Linear Regression
• 🌐 User-friendly Streamlit interface

🛠 Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• Streamlit

📁 Project Structure

House_Project/
│── app.py
│── house_data.csv
│── requirements.txt
│── README.md

▶️ How to Run Locally

pip install -r requirements.txt
streamlit run app.py

👨‍💻 Author

Abhishek Kanojiya

B.Tech CSE (Artificial Intelligence)

GitHub: https://github.com/Abhi7232