Survey On Intelligent Diet And Exercise Recommendation Systems Using Machine Learning

Abstract

In today’s technology-driven world, maintaining a balanced and healthy lifestyle has become increasingly challenging due to busy schedules, sedentary routines, and diverse individual health needs. The Intelligent Fitness Assistant presents a machine learning-based approach to deliver personalized diet and exercise recommendations tailored to each user’s physiological profile and lifestyle. The system collects user-specific information such as age, gender, height, weight, activity level, dietary preferences, and personal health goals to generate individualized fitness programs. By leveraging both supervised and unsupervised machine learning techniques, the system identifies underlying patterns in user data to determine optimal nutrition and workout strategies. Utilizing ANNs and LR, the Intelligent Fitness Assistant refines its recommendations dynamically based on user progress, feedback, and historical performance trends, ensuring adaptability and long-term engagement. The platform integrates seamlessly with wearable devices to gather real-time health parameters such as heart rate, calorie expenditure, and step count, enhancing the precision of its recommendations. This continuous feedback mechanism allows the system to adjust fitness plans in real time, promoting proactive health management. Designed to address prevalent lifestyle-related disorders such as obesity, cardiovascular diseases, and metabolic imbalances, the proposed system emphasizes preventive healthcare through intelligent automation. By combining predictive analytics, adaptive learning, and user-centric design, the Intelligent Fitness Assistant bridges the gap between technology and personal wellness. It empowers users to make informed decisions regarding their nutrition and physical activity while promoting sustainable improvements in overall health and well-being. This research highlights the transformative potential of AI-driven systems in personalized healthcare and establishes a foundation for future innovations in intelligent fitness management.