Study and Analysis of the Scope of Improvements in Fitness Advisor Systems using Data Mining

Abstract: There are a lot of health related problems today that have a direct or an indirect connection to the respective person's body weight. Efficient diagnosis of the same and spreading proper awareness about the health hazards associated with body weight is the need of the hour. The idea that a �Better diagnosis leads to a Better solution� is the inspiration of the proposed system. The proposed system is a desktop application that advises the user according to his/her requirement (gain weight, maintain weight, reduce weight). The application uses a combination of classification, clustering and association algorithms to efficiently direct all the given data to the best possible solution.

Keywords: Fitness, Advice, Clustering, Association, Classification, Data Mining, Health.