karnataka-electricity-consumption-predictor

A machine learning-powered web application that predicts average monthly household electricity consumption for districts in Karnataka, India, based on real government data and user inputs.

About the Project

Karnataka's electricity consumption has evolved over the years due to urbanization, lifestyle changes, and home expansions. This app predicts future household electricity needs using key variables like:

• Future Year (up to 2035)
• Household Size
• District
• Area of the house (in sq. ft)

Goals:

• Help households and consultants plan energy usage
• Provide data-driven insights to policymakers
• Raise awareness about growing power demands

Tech Stack

Layer	Tech
ML Model	scikit-learn, pandas, numpy
Backend	Flask, Python
Frontend	HTML, CSS, JavaScript
Deployment	Render (Cloud Hosting)

ML Model Details

The model was trained on historical data from 1990 onwards using:

• Feature scaling for numeric inputs
• One-hot encoding for categorical districts
• Linear regression / Random Forest for consumption prediction
• Saved using joblib for real-time prediction in Flask

Project Structure

karnataka-electricity-consumption-predictor/
├── static/               # Static assets (images, CSS)
├── templates/            # HTML templates for web pages
│   ├── index.html
│   ├── model.html
│   ├── result.html
│   └── ...
├── app.py                # Flask server logic
├── model.py              # ML model pipeline
├── requirements.txt      # Python dependencies
├── Procfile              # Render deployment file
├── README.md             # Project overview
└── LICENSE               # MIT License

How to Run Locally

1. Clone the repo

git clone https://github.com/yourusername/karnataka-electricity-consumption-predictor.git
cd karnataka-electricity-consumption-predictor

2. Create and activate virtual environment

python -m venv venv

# Activate:
source venv/bin/activate      # On Mac/Linux
venv\Scripts\activate         # On Windows

3. Install dependencies

pip install -r requirements.txt

4. Run the app

python app.py

5. Visit in browser

http://127.0.0.1:5000/

🌐 Live Demo

Try it here:
electricityconsumptionpredictor.onrender.com
No sign-in needed — just input your details and get your monthly prediction!

Future Improvements

• Data visualization for predicted trends (graphs, heatmaps)
• Export to CSV or PDF for reports
• Personalized energy-saving recommendations

License

This project is licensed under the MIT License.
Feel free to use, modify, and build upon it.

✨ Acknowledgments

• Government of Karnataka energy data sources
• scikit-learn & Flask open-source community
• Render.com for free deployment support

Author

Disha S Basti