Published Paper Details:

In critical situations like battlefields, disaster zones, rural areas, and medical emergencies, doctors and healthcare workers may not always be able to reach patients immediately. This project introduces a remote-controlled health monitoring and medicine delivery system that allows medical personnel to assess a patient's condition and provide necessary aid from a distance. The system uses an ESP32-CAM for live video streaming, enabling health workers to remotely navigate the chassis and collect patients vitals using a web interface. It is equipped with a pulse oximeter and a temperature sensor to measure oxygen levels, heart rate, and body temperature. A machine learning model running on the ESP32 analyzes the collected data and classifies the patient's condition as Good, Bad, or Critical, allowing for faster medical decisions and prioritization of critical cases to alert doctors via telegram. Along with tracking, this system can also deliver essential medicines to patients in remote or high-risk areas. Its lightweight and mobile design ensures easy deployment in hospitals, military camps, and disaster relief operations, making it a valuable tool for telemedicine and emergency healthcare.