• Preeti tiwari

Individual eating habits are critical to battling the health related issues. Ongoing advances in cell phones and wearable sensors advances have enabled computerized health and nutrition checking through captured images of food has increased the awareness about nutrition among people. With the objective to removing problems of conventional nourishment process, we have prepared a recommendation strategy that can work to keep track of proper diet plans. In this paper, we present new intuitive versatile framework that empowers automated flow of process dependent on client's clicked pictures and gives dietary intercession while following clients' dietary and physical exercises. Notwithstanding utilizing strategies with computer vision and Machine learning, one novel approach of this framework is the acknowledgment of the current diet habits and user preferences. We will also prepare a chart of users with per user BMI calculation and generating proper food based nutrition chart. To prove our results, we have used the comparison of precision, recall and accuracy as parameters.

"A hybrid recommender system considering the nutritional information and user preferences", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.720-725, April 2020, Available :http://www.jetir.org/papers/JETIR2004599.pdf

"A hybrid recommender system considering the nutritional information and user preferences", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp720-725, April 2020, Available at : http://www.jetir.org/papers/JETIR2004599.pdf