Asthma and obstructive sleep apnea (OSA)will affect breathing and the airways, especially at night. Asthma causes airway inflammation and narrowing and sleep apnea involves repeated airway collapse during sleep. Sleep apnea decreases oxygen level and increases inflammation, making asthma harder to control, while asthma’s airway obstruction raises the risk of sleep apnea. This research project includes Internet of Things (IoT) to detect sleep apnea and asthma. By integrating an Arduino Nano for processing with an ESP32 for IoT connectivity, the system enables real-time data logging and remote monitoring through the ThingSpeak platform. The system uses acoustic sound sensors to monitor breathing patterns and identify snoring. The dual-mode approach targets central sleep apnea by detecting prolonged breathing cessation, and manages obstructive sleep apnea and asthma by recognizing excessive snoring or respiratory distress. When the person is facing difficulty in breathing, an air compressor is activated to deliver immediate respiratory assistance. This project aims to improve sleep quality, respiratory conditions, and provide valuable data for healthcare providers.