International Journal of Advanced Research and Publications (2456-9992)

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SMART - Machine Learning Based Fitness Mobile Application

Volume 6 - Issue 5, May 2023 Edition
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Santhiramohan Madhushika, Mohomed Zowrie Mohomed Akil, Nifthas A.R.M, Pirtheep GT, Ravi Supunya Swarnakantha N.H.P, Suriyaa Kumari
Fitness, Mobile application, Workouts, Machine learning, Image processing.
Many people don’t pay attention to their health and fitness with their busy life styles. This situation vastly increased in Sri Lanka with the economy crisis of the country. People spending a stressful life bad economy and shortage of products and services. Most people spend time in the Fuel queues, and due to the shortage of fuel, they have trouble visiting fitness centers, etc. Meantime they miss fitness guidance, motivations, and diet plans and face physical and mental troubles because of the lack of time. SMART mobile application is very helpful for fitness users who really need to improve their health. SMART includes various aspects like workout, food schedule, and gym equipment suggestion, and trainer help are covered. In today's world, mobile applications have become an indispensable tool for many people. This is especially true in countries where other forms of technology may not be as readily available. For fitness enthusiasts looking to save time and maintain their fitness goals, the SMART mobile app provides a secure and reliable solution. While the app is designed for users with basic fitness knowledge, it also provides advanced features that cater to the needs of professional fitness coaches. The SMART app leverages the power of machine learning, image processing, and the Python module to deliver a seamless user experience. With its innovative technology and user-friendly interface, the SMART app is poised to revolutionize the way people approach fitness.
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