This work presents an IoT-based remote health monitoring system for rural communities in Bangladesh, aimed at improving healthcare access, particularly in remote areas. The system employs sensors such as LM35, AD8232, and SEN-11574 to measure vital health parameters, including body temperature, ECG and heart rate (pulse). The collected data is transmitted to an IoT cloud for recording and analysis. The system consists of three primary components: patient condition detection, data storage on the cloud, and remote data viewing. This setup enables healthcare providers to monitor patients' health remotely, reducing the need for frequent hospital visits. Designed as a non-invasive, cost-effective solution using locally available sensors, it is easy to implement and highly accessible. The stored cloud data allows for longitudinal health analysis, offering valuable insights into patients' conditions. By leveraging IoT technology, this system ensures continuous patient monitoring and the prompt detection of health abnormalities. Its affordability and practicality make it a transformative solution for enhancing healthcare delivery in rural areas of Bangladesh.