Bfitness 4.0: Healthy Living With Machine Learning-Powered Nutrition And Exercise Plans

Abstract

In today’s fast-paced digital world, maintaining a healthy lifestyle has become increasingly difficult due to hectic schedules, sedentary habits, and diverse individual health needs. BFitness 4.0 offers a solution through a machine learning-based system that delivers customized diet and exercise plans. The platform gathers user-specific information such as age, gender, height, weight, activity level, dietary preferences, and personal health goals to design tailored fitness programs. By employing both supervised and unsupervised machine learning methods, the system identifies patterns in user data to determine optimal nutrition and workout recommendations. Utilizing ANNs and LR, BFitness 4.0 continuously refines its guidance based on user feedback, progress, and historical trends, ensuring plans remain dynamic and promote long-term adherence. The platform also integrates with wearable devices to monitor key metrics in real-time, including heart rate, steps, and calories burned, which are used to further personalize recommendations. Designed to address common health concerns such as obesity, cardiovascular issues, and lifestyle-related disorders, BFitness 4.0 offers a proactive approach to wellness. By bridging technology and health, it provides an intelligent, scalable, and user-friendly solution for personalized healthcare. Through data-driven insights and automated fitness planning, the system empowers users to make informed choices regarding their nutrition and physical activity, supporting sustainable improvements in overall well-being. This research demonstrates the potential of AI-powered health systems and sets the stage for future advancements in personalized fitness and preventive healthcare.