AI-Integrated Single Platform to Enhance Personal Wellbeing

At present, an increasingly large percentage of the global population merely adopts an unhealthy lifestyle. Due to this situation, most people are engaged in an unconscious relationship with overweight and obesity, closely linked to the rise of non-communicable diseases. This study aims to develop an artificial intelligence-driven application to assist those afflicted with these disorders. On the other hand, it also encourages people to use this revolutionary solution by solving some practical problems with existing approaches. Although this seems to be a single solution, it is made up of combining four pieces namely Indirect BMR computation via visual cues, image-based ingredient identification for recipe with calorie intake tracking and supplements for unmet calorie needs, customizable exercise schedule and exercise analysis. All the solution's facets are brought together in a single mobile application based on artificial intelligence-related technologies. MoveNet, Mediapipe, Large language model (LLM), and ML Kit were used to perform the subtasks. The primary tasks were performed using custom-trained algorithms, including the Multiple Linear Regression model, Inception-ResNet-v2 model, and Random Forest algorithm, which were shown to be the most successful. Overall, the outcome of this research provides an all-in-one solution to reduce disease risks and guide people toward healthier lives.