The system has number of environmental sensors to sense various environmental parameters of the personal environment envelope surrounding the individual and multiple biological sensors to sense biological and physiological condition of the individual. The system includes a personal environment envelop setting module to define preferred settings based on input from the individual. The system has a processing module to process the environmental parameters sensed by the sensors and the preferred settings to generate alerts. The processing module, also receives information from other sources and is capable of dynamically compute recommendations, map these with the preferences of the individual for enabling the preferred conditions. The system also has a server module configured to receive, store, analyze and machine learn from data of the plurality of environmental parameters sensed by the plurality of sensors and the preferred settings along with ambient environmental data from plurality of persons for epidemiology study.