Disclosed is an automated personalized nutrition and lifestyle recommendations system and method. The system includes a data acquisition module for collecting genotype and phenotype data, historical diagnosis and medication data, and environmental parameters. The system includes a server configured to store personal information and information from the data acquisition module, and a processing unit for analyzing collected data, determining and storing required nutrition value at the molecular level, and determining and storing the best food that provides required nutrition value available in ROI, and determining and storing best lifestyle method for the end-user in the server. The system includes a user module that can access the data of end-users, a communication unit for establishing communication among the user module, the data acquisition module, and the bio-information server. The system includes a computer-readable method for providing distinct graphical user interfaces to user of the user module and to an admin.