This report discusses the data mining method used by Bangalore Food Assist (BFA) to expand its services portfolio. BFA collected data from 45,000 restaurants in Bangalore and used RapidMiner to explore and analyze it. The report covers data exploration, model creation, evaluation, and deployment in RapidMiner. BFA used KNN and decision tree classifiers to predict the success of new services like online meal ordering and pre-booking of tables. The report also discusses further research and extensions in RM.