• Thorat Himani Popat
• Shreya Agnihotri
• Srushti Sameer Tikekar
• Shreya Sahay
• D.D. Pukale

The lifestyle of peoples is changing day by day across the globe. Now-a-day, people are choosing junk food over healthy food which is one of the major cause for health issues. One of the major issues is obesity. Research shows that food logging is beneficial in promoting weight loss and hence to solve these problems we came up with an idea to develop a web-based application “Calorie Estimation using Food logging”. In “Calorie Estimation using Food logging” user needs to register with his/her weight, height, activeness and other parameters which would be used to calculate BMI of the user. BMI would be further used to calculate calorie needed per day. The user needs to upload the images of the meal intake in the whole day. Feature extraction process would be initiated to categorize different food items of the meal. The extracted features would be compared with the trained dataset. Accordingly, calorie for each food item would be calculated. Sum of all the calories calculated over a that would be compared with the calories required by his body and on bases of the result we will predict that the user is underweight, overweight or obese. By considering their categories we will show them required diet chart and fitness activities for the respective user.

"Automated Self-Monitoring of Calorie Estimation on Food", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.76-88, May-2019, Available :http://www.jetir.org/papers/JETIR1905311.pdf

"Automated Self-Monitoring of Calorie Estimation on Food", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp76-88, May-2019, Available at : http://www.jetir.org/papers/JETIR1905311.pdf