Design a New Approach to Calculate Calorie Count with Machine Learning (ML) and Augmented Reality (AR)

The global obesity epidemic has persisted for many years, resulting from prevalent dietary disorders that expose individuals to a multitude of health risks. Juggling the demands of a working adult’s life while trying to manage one’s diet can prove to be quite a challenge. Machine Learning (ML) stands as an incredibly potent and indispensable technology in our contemporary world.The system will have a significant emphasis on calorie and nutrient calculation within food items, and it sets itself apart from existing systems by offering full automation, eliminating the need for users to manually input data. Users will find the process incredibly straightforward, merely requiring them to capture an image of their food and provide it as input to the system. The initial phase of the system involves determining an individual’s recommended calorie intake based on their Basal Metabolic Rate (BMR). This calculated daily calorie goal is then continually monitored and presented through Augmented Reality (AR). If the individual successfully adheres to their daily calorie target, the system sends an achievement notification to acknowledge their progress. However, should the individual surpass their calorie goal, the system responds by displaying a pop-up AR window suggesting suitable exercises to help offset the excess calorie consumption. This approach combines personalized calorie management with real-time AR feedback to support users in maintaining their desired dietary goals and overall health.