• It is Machine Learning Regression Problem
• After Taking various inputs from the user data preprocessing is done like(Handling missing values,handling categorical values,handling outliers,handling distribution,bringing data into a same scale)
• Various Ml algorithms were considered during this experimentation and by using the optuna library and model was saved as a pickle file
• Performance metrics - Adjusted R square was used as a performance metric as this is a regression problem

Link to Github