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Heaviness has been a global problem for a long time. This remains the result of dietary problems that increase obesity’s susceptibility to various diseases. Maintaining a healthy diet while balancing the demands of an adult job can be hard. This document describes the creation of a clever diet journal a smartphone app that tracks diet to assist patients and obese individuals in controlling their nutrition amount consumed for a better quality of being. The suggested system makes use of deep learning to identify food items calculate their nutritive value in relationships of calories 16,000 photos of food products from 14 distinct categories compromise the data that a multi-label classifier is trained on. We were able to calculate average calories within 10% of the definite calorie value and achieve an overall precision of roughly 80.1 per cent by using a pre-trained CNN model for classification.