AKSHAY K (STM21CS014)

AYUSH SUNIL KUMAR E K (STM21CS024)

SANJAY KRISHNA NELLIADAN (STM21CS050)

SANJAY M (STM21CS051)

In recent years, the emergence of artificial intelligence (AI) has transformed the fitness landscape, offering innovative solutions to enhance individual health and wellness. BOOST (Beginners Optimal AI Strength Training) is a cutting-edge AI-powered fitness platform specifically designed to address the challenges faced by fitness beginners. This comprehensive system combines personalized workout plans, dietary
guidance, and real-time feedback to create an engaging and user-friendly experience. A core component of BOOST is its use of human pose estimation technology, which identifies key landmarks on the human body to monitor exercise performance. By capturing real-time data on body positioning and joint angles, BOOST provides users with corrective feedback during workouts, ensuring they maintain proper form and reduce the risk of injury. This level of monitoring allows for accurate tracking ofexercise repetitions, thereby enhancing workout effectiveness.

In addition to exercise monitoring, BOOST features an advanced dietary recom-mendation system powered by AI algorithms. This system generates customized meal plans tailored to individual body types, fitness goals, and activity levels. With an integrated food scanner utilizing convolutional neural networks (CNN), BOOST can recognize food items from images and deliver detailed nutritional information, enabling users to make informed dietary choices. The platform also offers recipe suggestions and meal preparation guides, making healthy eating accessible and convenient.
To further enhance user engagement, BOOST includes an AI-driven chatbot that leverages natural language processing (NLP) to interact with users. The chatbot provides real-time support, answering queries related to fitness and diet, and offers personalized motivation tailored to each user’s unique needs. By employing sentence similarity matching, the chatbot creates an interactive experience that fosters commit-
ment to fitness goals.Additionally, BOOST incorporates a hybrid recommendation system for workouts and diets, blending traditional signal processing techniques with machine learning models such as K-Nearest Neighbors (KNN). This hybrid approach allows the platform
to learn from diverse datasets of exercise and dietary patterns, delivering personalized recommendations that adapt to the evolving needs of users.
Despite advancements in fitness technology, significant challenges remain, such as inaccuracies in pose estimation due to environmental factors and user movement complexities. BOOST addresses these hurdles by utilizing robust computer vision
techniques to enhance detection accuracy and mitigate errors. In conclusion, BOOST represents a paradigm shift in personalized fitness solutions by integrating advanced AI features, including pose estimation, AI-based meal planning, and real-time feedback. This holistic approach ensures that users are equipped with the tools necessary to embark on and sustain their fitness journeys, thereby promoting overall health and wellness.