Smart wearable IoT and AI System for Continuous Respiratory Diagnosis

Abstract: This project presents an IoT-based AI system for continuous respiratory disorder monitoring, aimed at providing real-time health tracking and early identification of critical conditions. The system uses an Arduino Uno as the central controller, integrating sensors such as temperature, pressure, and heart rate to gather essential physiological data. In addition, the MPU6050 sensor is included to monitor body movement and detect fall events, improving patient safety. The collected data is displayed on an LCD screen and transmitted to a mobile device for remote monitoring and timely notifications. The system focuses on delivering accurate and continuous observation of patient health outside hospital environments. By combining IoT connectivity with intelligent data analysis, the proposed solution enhances healthcare accessibility and supports early medical intervention. It is especially useful for elderly individuals and patients with respiratory issues, helping to reduce health risks through efficient and smart monitoring.

Keywords: IoT, AI, Arduino uno, Sensors, Mobile notification, Respiratory Disorder Monitoring.