Abstract: The growing need for efficient healthcare has driven the advancement of intelligent robotic systems. This project describes a Health Navigator Robot that uses automation, artificial intelligence, and IoT to enhance patient care. The robot's core consists of a Raspberry Pi and ESP8266 microcontroller, allowing it to interact with patients autonomously and track heart rate, SpO₂, and body temperature in real-time. It features sensors like MAX30102 and VL53L1X, along with a camera module for precise data collection and navigation. The robot's AI capabilities include facial recognition, emotion detection, and fall detection, leveraging computer vision and deep learning. A voice-controlled interface enables hands-free interaction, making it user-friendly for patients. The system also integrates with Firebase for logging health data and sending emergency alerts. The robot responds to emergency signals, initiates voice interactions, and conducts real-time health assessments, offering comprehensive support for patient-centered care.

Keywords: Health robotics, AI in healthcare, IoT, patient monitoring, Raspberry Pi, voice assistant, real-time systems, emergency response.

| DOI: 10.17148/IARJSET.2025.125285