⚡ Electricity Bill Predictor – ML-Based Web App (Python | Streamlit)
I developed an Electricity Bill Predictor that estimates monthly electricity costs based on the usage patterns of household electrical appliances. This project helps users understand and manage their power consumption more efficiently by providing data-driven bill predictions.
🔹 Project Highlights
📊 Predicts electricity bills based on appliance usage inputs
🤖 Machine learning model built using scikit-learn
🧮 Processes usage data such as duration, frequency, and appliance type
🌐 Interactive web application developed using Streamlit
⚡ Fast, simple, and user-friendly interface
🔹 Technology Stack
Python – Core programming and logic
scikit-learn – Machine learning model for prediction
⚡ Electricity Bill Predictor – ML-Based Web App (Python | Streamlit)
I developed an Electricity Bill Predictor that estimates monthly electricity costs based...