An Iot Based Multi-parameter Data Acquisition System For Efficient Bio-tele Monitoring Of Pregnant Women At Home With Raspberry Pi

This project proposes an IoT-based multi-parameter data acquisition system designed for efficient bio-tele monitoring of pregnant women at home using Raspberry Pi. The system continuously monitors vital health parameters such as heartbeat, body temperature, and physical position using appropriate biomedical sensors and the ADXL345 accelerometer to detect movement or falls. The collected data is displayed locally and uploaded to the ThingSpeak cloud platform for real-time remote access and long-term health tracking by medical professionals or caregivers. In case of any abnormal condition—such as irregular heartbeat, high temperature, or sudden fall—the system immediately triggers a buzzer alert and sends an emergency message to a registered mobile number via a GSM module. This smart monitoring solution enhances maternal healthcare by enabling early detection of potential risks, ensuring timely intervention, and providing pregnant women with a safer and more secure environment at home.