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🏠 Flat Price Prediction using Machine Learning

A Machine Learning based web application that predicts flat prices based on multiple features such as area, location, BHK, builder name, and other property details.


✨ Features

  • Predict flat prices using Machine Learning
  • Area-based price prediction
  • Multiple property features support
  • Simple and responsive web interface
  • Flask-based backend
  • Fast prediction

🛠 Tech Stack

  • Python
  • Flask
  • HTML5
  • CSS3
  • JavaScript
  • Scikit-learn
  • Pandas
  • NumPy

📁 Project Structure

🏗️ Project Architecture

User
   │
   ▼
Flask Web Application
   │
   ▼
Machine Learning Model
   │
   ▼
Price Prediction
   │
   ▼
Display Result

⚙️ Installation

Clone Repository

git clone https://github.com/kunwaradityasingh-boy/flat-price-prdection-on-area.git

Go to Project Folder

cd flat-price-prdection-on-area

Install Dependencies

pip install -r requirements.txt

Run Application

python app.py

📸 Screenshots

Home Page

Add screenshot here

Prediction Result

Add screenshot here


🚀 Future Improvements

  • Improve prediction accuracy
  • Better UI/UX
  • Deploy on AWS EC2
  • Docker support
  • CI/CD Pipeline
  • User Authentication

👨‍💻 Author

Kunwar Aditya Singh

  • 🎓 B.Tech CSE (AI & Data Science)
  • ☁️ Cloud & DevOps Enthusiast
  • 🐍 Python Developer

⭐ If you like this project, don't forget to Star this repository.

About

Machine Learning based web application for predicting flat prices using Python, Flask, HTML, CSS and JavaScript.

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