StrideSync -AI Enhanced Workout Tracking and Form Validation

StrideSync is an innovative solution that enhances fitness tracking and nutritional analysis through advanced AI and computer vision technologies. As personal fitness and dietary management gain significance in promoting health and wellness, existing solutions often lack real-time monitoring and personalized feedback, creating a gap in user engagement and effectiveness. This paper presents StrideSync’s methodology, which integrates real-time object detection using a pre-trained YOLOv3 model to accurately identify food items and calculate their nutritional values based on user input weights. Additionally, it employs advanced pose estimation algorithms to monitor exercise forms across diverse workouts, providing users with actionable insights to improve performance. Our system includes an intuitive web interface that displays real-time nutritional information and visualizes data through interactive charts, fostering user understanding of their dietary intake. After rigorous testing, StrideSync demonstrated significant accuracy in exercise tracking and food composition analysis, offering a comprehensive health management tool. Future enhancements will focus on personalized feedback mechanisms, expanded exercise databases, and holistic health metrics like heart rate tracking. Ultimately, StrideSync aims to empower users to achieve their fitness and nutritional goals, contributing to a healthier lifestyle through technology-driven solutions.