This project focuses on the development of a smart insole designed for athletes and sports enthusiasts. The insole is embedded with sensors that collect real-time data such as step count, speed, average speed, and other relevant performance metrics. The captured data is transmitted to a mobile or web application where users can monitor their physical activity, track progress, and gain insights into their performance. This smart solution aims to enhance training efficiency, prevent injuries, and support data-driven coaching.

This project focuses on developing a smart shinpad for football players at all levels. The shinpad features built-in sensors that track key performance metrics, including total distance, step count, average and maximum speed, distance per minute, number of shots, and shot power. All data is sent in real-time to a mobile or web application, allowing players to monitor their performance, track progress, and analyze training sessions. The smart shinpad aims to improve training efficiency, reduce injury risks, and provide valuable insights to help players enhance their overall performance