An Intelligent Real-Time IoT Health Monitoring System with Predictive AI Analytics

The Internet of Things has revolutionized. moni- toring patients’ health in real-time. Vestir. Nowadays, capable instruments link distant patients with professionals. Bringing together for one management of care. An IoT-based system enables continuous real-time tracking. Monitoring of heart rate, blood pressure, and general physical condition. Temperature, oxygen saturation (SpO2), and standard ECG readings. The key physiological trends are shown by these signals. Wearable gadgets like pulse oximeters, ECG patches are common. Often inexpensive, temperature sensors form the core. Tool Equipment like ESP32 or Raspberry Pi, powered by ”Processing tasks are handled by batteries or adapters.” The edge is where data collection, cleaning, and preprocessing happens. mechanisms for reducing latency and bandwidth requirements. Safe. Commu- nication through Wi-Fi, BLE, and cellular transmission. The networks transmit data to the cloud platform. pub-sub messaging at our cloud server through EMQTT or CoAP communication. Machine learning algorithms, such as LSTM networks. Real-time anomaly detection is performed by Random Forest classifiers. Based on streaming data to predict health deteriorations such as non-consistent heart beats or blood pressure. Alerts can be resolved immediately. healthcare experts via mobile apps and dashboards. message alerts. Powerful security features leverage AES-256 encryption and. blockchain to secure data integrity and ensure HIPAA compliance. Test. A study of 50 records of patients showed 98.5Detecting anomalies with an average end to end delay 1.2. seconds Rewording this (6 words): Hospital readmissions reduced with early interventions. Max- imum 30This IoT-driven firm transforms the patient. centering healthcare, especially in resource-constrained areas, Opens door to new scalable remote health solutions.