Advancements such as IoT and wearable technology means that methods of continual health monitoring can now be performed to better efficacy. The work under consideration is the description of the real-time heart monitoring system based on the ESP32 microcontroller and the AD8232 ECG sensor. Pulse captures ECG signals and relays the same to a raspberry pie for analysis and storage of the same. An interactive web-based graphical user interface is included to provide proxy access to real time heart data and graphical representations thereof. What has been proposed is an efficient, economical and more importantly client friendly and accessible for both clinical and home use. It also strives to help identify possible cardiac anomalies through constant tracking and share extensive health information for consumers and medical professionals. When compared to traditional methods, the suggested system lowered latency by 40% and achieved a better accuracy. The outcomes show that a web-based, real-time monitoring system is feasible. However, refined methods for power consumption and scalability for bigger datasets can be worked on further.