Designed, 3D Printed, and assembled a small-scale vertical-axis wind turbine equipped with IoT sensors to collect real-time environmental data. Pushed them onto the cloud via WiFi microcontroller ESP32. Applied statistical analysis and machine learning techniques to investigate the relationship between wind speed, temperature, humidity, and power generation. Built an AI forecasting model to predict energy output trend and evaluate turbine performance under varying environmental conditions. Technologies used included IoT data acquisition, Python, data analytics, and predictive modeling. https://sites.google.com/view/minhehe/projects/powergenerationforecastingsystem this is my website page for this personal project