Energy Consumption Bot

• A simple web application that predicts energy consumption and provides results through a web interface.
• Energy Consumption Bot is a lightweight web application that predicts energy consumption using a pre-trained machine learning model.
• Users enter energy-related inputs through a simple web interface.

Features

• Web UI to input features and get energy consumption predictions
• Pretrained model (electricity_model.pkl) and scaler (scaler.pkl) included
• Built with Python (Flask) and HTML/CSS templates

How It Works

1. User opens the web app in a browser
2. Inputs energy-related values on the form
3. The app loads a pretrained model and scaler
4. Predicts energy consumption and displays the result on the UI

Tech Stack

• Backend: Python (Flask)
• Frontend: HTML, CSS (in templates/ and static/)
• Model: Scikit-learn machine learning model stored as pickle

## Notes

* Make sure all required files (`.pkl`, templates) remain in place.
* You can retrain or replace the existing model if needed.
* Add error handling, input validation, and security before production use.

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