In the modern fast-paced lifestyle, maintaining a healthy routine has become increasingly challenging for individuals. This paper presents a Smart Fitness and Health Monitoring System designed to provide personalized health recommendations based on user-specific parameters such as height, weight, and lifestyle habits. The system computes Body Mass Index (BMI) and classifies users into standard health categories including underweight, normal weight, overweight, and obese. Based on this classification, the system generates tailored suggestions for yoga practices, physical workouts, and nutritional intake to promote overall well-being. It also incorporates a comprehensive activity tracking module that monitors daily physical activities such as step count and exercise routines, estimates calories burned, and evaluates potential fat loss. To enhance user engagement and understanding, the system provides interactive visualizations, including line and pie charts, to track and analyze progress over time. A distinctive feature of the system is its integration of regional (Marathi) dietary recommendations, enabling users to select locally relevant food options while gaining insights into their calorie and protein consumption. Additionally, the system delivers intelligent feedback to help users achieve their daily fitness goals effectively. The proposed system is implemented as a web-based application using PHP, MySQL, HTML, CSS, JavaScript, and Chart.js, offering a scalable and user-friendly solution for personalized fitness management.
Ubhale et al. (Fri,) studied this question.