The objective of this study is to examine the performance of a micro wind turbine that has been developed for rooftop application, where wind speeds are generally low. The design of the Vertical Axis Wind Turbine (VAWT), along with piezoelectric material suitable for smart institute infrastructure, has been proposed. Random Forest and XGBoost method has been used for wind speed estimation. Compared to the XGBoost model, the Random Forest model achieved lower accuracy. XGBoost reduced RMSE of 1.132 and MAE of 0.779, indicating a better accuracy for the estimation of wind speed. Thereafter, the design of the wind turbine was done by QBlade by considering the estimated wind speed potential. Finally, design allows the merger of the aerodynamic force generation with piezoelectric energy conversion, which allows generating electrical power. This work advances sustainable energy solutions by offering a flexible and scalable approach to the production of VAWT prototypes by integrating piezoelectric bender for smart institution campus infrastructure.