Diet Plan and Home Exercise Recommendation system using Smart Watch

Obesity and sedentary lifestyles have become significant health concerns globally. To solve these issues, this system presents a Diet Plan and Home Exercise Recommendation System (SYP) that utilizes users' smartwatch data and pathological information to generate personalized diet plans and exercise recommendations. The proposed SYP system leverages the capabilities of modern smartwatches, which are equipped with various sensors to collect comprehensive health data. Additionally, it incorporates users' pathological data obtained through medical tests. By integrating these diverse datasets, the system can provide tailored recommendations based on an individual's specific health profile. The SYP system operates in two main phases: data collection and recommendation generation. During the data collection phase, the system collects and analyzes data from users' smartwatches and pathological records, such as heart rate, sleep patterns, blood pressure, glucose levels, and body mass index. The collected data is then processed to extract relevant features and construct a comprehensive health profile for each user. In the recommendation generation phase, the SYP system employs machine learning algorithms to analyze the user's health profile and generate personalized diet plans and home exercise recommendations. The generated recommendations are designed to be practical, feasible, and aligned with the user's health objectives.