Published Paper Details:

The rapid advancement of technology has paved the way for innovative solutions in remote healthcare monitoring, particularly through the integration of the Internet of Things (IoT), cloud computing, web applications, and artificial intelligence (AI)/machine learning (ML). This paper presents a comprehensive real-time e-healthcare monitoring system designed to collect, transmit, analyse, and visualize patient health data remotely. The system utilizes IoT-enabled sensors connected to an ESP32 microcontroller to gather vital signs, including heart rate, body temperature, and oxygen levels. The collected data is transmitted securely to a cloud-based database, where it is processed and made accessible via a web interface for healthcare professionals. Additionally, AI/ML algorithms are employed to analyze trends in patient data, enabling predictive healthcare insights and early detection of anomalies. By combining these technologies, the proposed system aims to enhance remote patient care, improve healthcare accessibility, and facilitate timely medical interventions.