Review on Pregnancy Progress Monitoring
Prajakta Kutwal1
Department of E&TC
Marathwada Mitra Mandal’s
College of Engineering,pune-52
Ekta Kurkure2
Department of E&TC
Marathwada Mitra Mandal’s
College of Engineering,pune-52
Swati Deshmukh4
Department of E&TC
Marathwada Mitra Mandal’s
College of Engineering,pune-52
Vaishnavi Honbute3
Department of E&TC
Marathwada Mitra Mandal’s
College of Engineering,pune-52
Abstract— This project outlines the creation of an innovative pregnancy progress monitoring system leveraging cutting-edge sensor technology and artificial intelligence (AI) models. This project presents an integrated system designed to revolutionize the monitoring of pregnancy progression through a sophisticated fusion of sensor technology and artificial intelligence (AI). The collaborative functionality of DS18B20 temperature sensors, heart beat sensor, and GSM modules establishes a seamless data collection and transmission framework. These sensors continuously capture vital parameters including body temperature, heart rate, and blood oxygen saturation, while the GSM module ensures secure and real-time transmission of this data to designated servers or caregivers’ devices. Leveraging AI-driven algorithms, the system interprets these multifaceted datasets, employing pattern recognition and anomaly detection to discern potential health irregularities. The intuitive user interface grants caregivers comprehensive access to visualized data, facilitating proactive monitoring and swift response through customizable alerts for critical health indicators. This innovative solution undergoes iterative development and validation, seeking to redefine prenatal care by enabling early identification of deviations and fostering informed decision-making among medical practitioners and expectant parents. By amalgamating sensor technology with AI capabilities, this system aspires to enhance the safety and well-being of both mother and fetus, marking a paradigm shift in prenatal health monitoring and intervention strategies.
