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FOOD CALORIE FINDER USING MACHINE LEARNING

B.Murali Krishna, N.Vara Prasad, R.Bhavani

Department MASTER OF COMPUTER APPLICATIONS  RISE Krishna Sai Prakasam Group of Institutions , Ongole

Abstract: In the modern world, machine learning (ML) is a very potent and significant technology. The proposed system is subjected to the application of several suitable algorithms, including the Grab Cut segmentation method, the canny edge detection technique, and the Faster RCNN algorithm, with the aid of ML modules. This programmed primarily focuses on calculating the number of calories and other nutrients that are contained in meals. The entire process will be automated as compared to current systems, where values must be delivered manually by the user. However, all users will need to do to submit data into the system is click on the meal image. Additional procedures can be automated fast, for example, by using a closer R-CNN to understand for each food and an item for standardization. Use of the Grab Cut method yields. The volume of each food item is then computed using volume valuation formulae. Finally, it estimates the calories of each food, and experimental investigations have proven that the proposed estimation approach is useful by providing production with information about the calories and nutrients available in the food.

KEY WORDS— GrabCut segmentation method, Machine learning techniques, experimental investigations.