• Ms. Anshika Negi
• Subhodeep Paul
• Shehbaaz Aalam
• Deepak
• Md Maaz Ahmad

This research paper provides a comprehensive analysis of the literature on the topic of Earthquake Monitoring and Alert systems, ranging from traditional seismology to the new technological innovations. The study studies the major trends in seismic monitoring technologies, machine learning applications, artificial intelligence in early warning systems, IoT-based monitoring networks, and preventative methods utilized all over the world. By closely looking at the latest research from 2020 to 2025 this paper highlights some key advancements in real-time seismic instruments, deep learning mechanisms for detecting earthquakes, transformers for diversified environments, and community-based early warning systems. The research collects information from different disciplines such as seismology, computer science, engineering, and public policy, to make available a full picture of earthquake hazard reduction strategies. Key findings show significant improvements in real-time monitoring capabilities with detection accuracies with 95% or greater. It also highlights predictive modeling using neural networks that were trained with more than 700,000 examples with labels and practical applications of community-based early warning systems in sixteen countries. The study highlights continual problems with earthquake prediction over long periods of time, compatibility among different monitoring systems, false alarms in real-time warnings, fair global coverage of, especially in developing areas. This research aims to bring scattered knowledge from many fields, compare different approaches to reduce the seismic hazards through quantitative analysis and find critical research gaps that need urgent scholarly focus. The analysis indicates a transition from treating disaster response to being active in disaster risk reduction, driven by the combination of IoT sensors, cloud computing, machine learning and data analysis. This review provides a framework for grouping the various approaches, gives a detailed comparison of existing methods, using standard metrics, and suggests directions for future research based on limitations identified and new technological possibilities.

Earthquake Monitoring, Early Warning Systems, Machine Learning, Artificial Intelligence, Internet of Things (IoT), Real-Time Detection, Seismic Networks, Disaster Risk Reduction

"Earthquake Monitoring and Alert System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.d128-d138, November-2025, Available :http://www.jetir.org/papers/JETIR2511318.pdf

"Earthquake Monitoring and Alert System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppd128-d138, November-2025, Available at : http://www.jetir.org/papers/JETIR2511318.pdf