Wearable technology has become a powerful tool for real-time health monitoring, offering innovative solutions for various medical and fitness applications. This paper presents an IoT-based wearable muscle strain detector designed to monitor and analyze muscle strain in real time. The system integrates advanced sensors, including surface electromyography (sEMG) sensors and strain gauges, to detect abnormal muscle activity and strain levels. Information gathered by the sensors is processed using a microcontroller and transmitted wirelessly to cloud platform for visualization and analysis. The proposed device is lightweight, portable, and user-friendly, making it suitable for athletes, rehabilitation patients, and individuals prone to muscle-related injuries. The IoT connectivity enables continuous monitoring and integration with machine learning algorithms for predictive analysis and early intervention. This system aims to reduce the risk of severe muscle injuries, improve sports performance, and improve recovery outcomes in clinical settings. The development and testing of this wearable demonstrate its potential as a reliable tool for personalized health monitoring, providing valuable insights for users and healthcare providers.