Health Pulse Kiosk: An AI-Driven IoT Solution for Comprehensive Health Diagnostics

Health monitoring and diagnostics play a crucial role in the early detection and prevention of diseases, especially in underserved areas where access to healthcare facilities is limited. The Health Pulse Kiosk addresses this challenge by providing a self-service, all-in-one solution for real-time health monitoring. Equipped with non-invasive sensors for measuring vital signs such as heart rate, blood pressure, oxygen saturation, and body temperature, the Kiosk enables individuals to monitor their health independently. This system integrates machine learning (ML) and deep learning (DL) models, including Naive Bayes, Random Forest, and MobileNetV2, to analyze and interpret the collected data. The Kiosk's design emphasizes user accessibility and ease of interaction, presenting real-time health metrics through a web interface. Performance evaluations demonstrate that MobileNetV2 achieves the highest accuracy of 99.56379%, and rapid response times averaging 1.2 seconds. This approach not only enhances healthcare accessibility but also empowers individuals to take proactive control of their health.