Smart-Energy-Consumption-Predictor

An AI-powered web application that predicts energy consumption for buildings using machine learning. Built with Flask, scikit-learn, and a modern responsive UI. 🌟 Features

Real-time Predictions: Get instant energy consumption forecasts

Smart ML Model: Uses Gradient Boosting algorithm with engineered features

Responsive Design: Works perfectly on desktop and mobile devices

Multiple Building Types: Supports residential, office, retail, and industrial buildings

Feature Importance: Visualize which factors most impact energy consumption

Easy Deployment: Ready for major cloud platforms

🚀 Quick Start

Local Development

1 .Clone the repository

git clone https://github.com/yourusername/energy-consumption-predictor.git

cd energy-consumption-predictor

2.Install dependencies

pip install -r requirements.txt

3.Run the application

python app.py

🤖 Model Details

Algorithm : Gradient Boosting Regressor

Features: 18 engineered features including temperature, occupancy, time patterns

Training Data : 2000+ synthetic samples with realistic energy patterns

Performance: R² Score > 0.85 on training data

🎯 API Endpoints

GET / - Main application interface

POST /api/predict - Get energy consumption prediction

GET /api/feature-importance - Get model feature importance

GET /health - Health check endpoin