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Prediction of Health Risks Using Semi-Supervised Learning

	International Journal of Scientific Research and Engineering Development (IJSRED)	Full Text:
	Published Issue : Volume-3 Issue-6
	Year of Publication : 2020
	Unique Identification Number : IJSRED-V3I6P43
	Authors : V.Subapriya, Dr.K.L.Shunmuganathan, Advaith Banu, Agnel John, Vishnu.P.A
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Abstract :

Food is very essential for human lifestyles and its miles essential to human experience. Now-a-days nearly 20% of losses of life international are as a consequence of a dangerous weight-reduction plan.Due to the development in human being’s standards of living, obesity quotes are increasing at an alarming speed, and this is reflective to the dangers in human health. People want to manipulate their everyday calorie intake via consuming more healthy foods, that's the maximum fundamental approach to avoid weight problems. Inthis paper is trying to provide a greater green manner of estimating calories. First, it desires the top view and aspect view photographs of the meals being analysed. Then, it's going to use Faster R-CNN to locate the food and calibration object, after which, a GrabCut algorithm is an image segmentation method, by using this algorithm we can estimating the quantity of food and also estimate the amount of energy.