Abstract:
The IoT-based Smart Health Predictor AI system is a revolutionary project that integrates IoT devices, cloud computing, artificial intelligence (AI), and healthcare analytics. This system aims to monitor patients’ health in real-time, predict potential health risks, and provide proactive healthcare interventions. The project leverages ESP32 micro controllers for data acquisition, Firebase for data storage, an advanced AI prediction model for risk assessment, and a user-friendly web interface for data visualization. Major accomplishments include accurate health predictions, usability enhancements, and adherence to ethical standards. Future enhancements include integrating additional sensors for comprehensive monitoring and integrating the system into enterprise healthcare networks for improved patient-doctor communication. This abstract summarizes the project’s objectives, accomplishments, and future directions
