• Chetan Jarande
• Mukta Bhagwat
• Vishakha Patil
• Diya Ukirde
• Arati Dandavate

Nowadays, people are more concerned about their diet due to COVID-19. A number of diseases are increasing day-by-day such as heart diseases, high blood pressure, diabetes, etc. These diseases are increasing due to over consumption of oily food, high sugary contents, junk food, many more which leads to obesity. Even COVID-19 has proved the importance of intake of sufficient nutrients to build a strong immune system. So, in order to keep a track of the intake of necessary nutrients and to avoid over consumption of fatty and high cholesterol foods, we have proposed a system that will estimate the approximate amount of calories present in the food. This system can run on mobile as an application as well as on a desktop as a system. The system carries out image acquisition, object detection, and calorie estimation as some of the processes

Image processing, food image recognition, food calorie estimation, convolutional neural network , Computer vision , Deep learning

"SURVEY ON FOOD CALORIE ESTIMATION USING DEEP LEARNING AND COMPUTER VISION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.b735-b739, January-2022, Available :http://www.jetir.org/papers/JETIR2201196.pdf

"SURVEY ON FOOD CALORIE ESTIMATION USING DEEP LEARNING AND COMPUTER VISION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppb735-b739, January-2022, Available at : http://www.jetir.org/papers/JETIR2201196.pdf