🏠 AI House Price Predictor

An interactive machine learning web application that predicts house prices using neural networks. Built with TensorFlow.js for real-time AI predictions in the browser.

🎯 Project Overview

This project demonstrates a complete machine learning pipeline that:

• Trains a neural network to predict house prices
• Uses real-time data visualization during training
• Provides instant AI-powered price predictions
• Shows model performance and accuracy metrics

✨ Features

• 🧠 Neural Network Training - Watch AI learn in real-time
• 📊 Live Predictions - Get instant house price estimates
• 📈 Training Visualization - See loss reduction over epochs
• 🎨 Modern UI - Clean, responsive design
• 📱 Mobile Friendly - Works on all devices
• ⚡ Fast Performance - Browser-based ML with no server needed

🛠️ Technologies Used

• TensorFlow.js - Machine learning framework
• Chart.js - Data visualization
• JavaScript ES6 - Core programming
• HTML5 & CSS3 - Frontend development
• Neural Networks - Deep learning model

🚀 How It Works

1. Data Generation

• Creates 500+ synthetic house records
• Features: bedrooms, bathrooms, square footage, age, location
• Realistic price calculations with market factors

2. Model Architecture

3. Training Process

• Data normalization and scaling
• 30 epochs with batch training
• Real-time loss tracking
• Progressive model improvement

4. Prediction

• Takes user input for house features
• Normalizes data using training parameters
• Runs inference through trained model
• Shows price estimate with confidence score

📋 How to Use

1. Clone the repository

   git clone https://github.com/yourusername/ai-house-price-predictor.git
   cd ai-house-price-predictor

ai-house-price-predictor/
│
├── index.html          # Main application html file
├── style.css           # css file
└── script.js           # java script file