Recommendation system for yoga and raga for personalized health based on constitution

Now a days, globalization has increased beyond its growth, many challenges and stressful situations need to be faced by human. In Current scenario ayurveda experts diagnose the diseases by interacting with patients and by examining the patients. They suggest appropriate medicine, yoga, raga and diet according to their observations but such process is very time consuming. Considering such scenario, designing automatic recommendation systems which will recommend yoga and raga for specific prakriti. It will help experts to reduce certain amount of time, such system recommend accurate yoga and raga according to physical and mental characteristics of person (prakriti). Based on timing, mood and constitution raga recommendation has been done and similarly yoga recommendation has been done based on parameters like disorder, atmosphere, and constitution. These parameters are finalized by experts of ayurveda. Decision tree and neural network technologies are used for designing recommendation systems.