Electricity Consumption Prediction & Price Estimation

This project is a machine learning-based application that predicts electricity consumption and estimates prices. It helps users optimize their energy usage and provides valuable insights into their electricity consumption patterns.

Features

• Predicts electricity consumption based on various factors such as the number of rooms, number of people, presence of AC or TV, number of children, and urban/rural setting.
• Estimates electricity prices based on the predicted consumption and other relevant factors.
• Provides an intuitive web interface for users to input their data and receive predictions. \

Technologies Used

• Python
• Flask
• Scikit-learn
• HTML
• CSS
• JavaScript

Usage

1. Install the required dependencies using pip install -r requirements.txt.
2. Run the server using python server.py.
3. Access the application in your web browser at http://localhost:5000.
4. Input the relevant information in the form and submit to get the predicted electricity consumption and estimated price.

Contributing

Contributions are welcome! If you find any issues or want to enhance the application, feel free to submit a pull request.