• Ashish Gondhali
• Harshal Patil
• Manali Yendhe
• Vishal Gawai
• Prof.K.S.Ghuge

Obesity is growing globally and is a danger issue for many chronic situations such as heart disease, sleep apnea, type-2 diabetes, and some cancers. The project consists of two steps: identifying food from an image and converting the food identification into calorie estimation. Overweight is defined as irregular or extreme fat accumulation that may damage health. Research shows that the food logging is beneficial in promoting weight loss. Crowdsourcing has also been used in promoting dietary feedback for food logging. This paper examines the feasibility of crowdsourcing to provide support in accurately determining calories in meal images.

"Image Based Classification of Food for Proper Calorie Estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.30-34, May-2020, Available :http://www.jetir.org/papers/JETIR2005306.pdf

"Image Based Classification of Food for Proper Calorie Estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp30-34, May-2020, Available at : http://www.jetir.org/papers/JETIR2005306.pdf