• Mukta Sanjay Bhagwat
• Arati dandavate
• Chetan Jarande
• Vishakha Patil
• Diya ukirde

Nowadays, people are more concerned about their health due to COVID-19. A number of diseases is 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 and 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 intake of necessary nutrients and to avoid over consumption of fatty and high cholesterol foods, we are proposing this system. In this paper, we proposed an image based calorie estimation system which can run on desktop system without any use of external servers. The proposed system consists of various steps such as food classification, detection, segmentation and calorie Estimation.

image processing, food image recognition, food calorie estimation, Yolo v4 Darknet, computer vision, deep learning

"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 5, page no.c850-c857, May-2022, Available :http://www.jetir.org/papers/JETIR2205411.pdf

"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 5, page no. ppc850-c857, May-2022, Available at : http://www.jetir.org/papers/JETIR2205411.pdf