Prediction of Electric Vehicle Charging Analysis Using Machine Learning

ChargeWise is a Python-based interactive dashboard that addresses the growing need for comprehensive analysis of electric vehicle (EV) charging behavior in India. Utilizing real-world charging session data, it employs a Random Forest model to forecast energy consumption, charging duration, and efficiency based on user inputs such as session length, vehicle type, day of the week, and facility attributes. The platform integrates predictive analytics with dynamic visualizations and geospatial mapping to provide insights into charging patterns, facility performance, and network coverage. This decision-support tool enables EV users, infrastructure planners, researchers, and policymakers to make informed choices that promote efficient energy management and sustainable transportation development.