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@article{196297,
        author = {Dr. MK Jayanthi Kannan and Parvathi M and Saanvi Bora and Aditi Gupta and Apoorv Dwivedi and Nikunj and Hrishita Pundir},
        title = {DeepRisk: A Machine Learning Framework for Mapping Climate Gentrification and Migration Vulnerability Risk Map},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {4145-4156},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196297},
        abstract = {Climate change is instigating a complex socio-economic phenomenon known as climate gentrification, where the creation of "safe zones" leads to the displacement of vulnerable populations through rising costs and market pressures. Existing tools for risk assessment and migration are often rendered ineffective during disasters due to their reliance on constant internet connectivity. To address this critical gap, this project proposes the development of a resilient, offline-first Climate Gentrification Risk Map application. The system integrates Geographic Information Systems (GIS) for visualizing vulnerable and safe zones, GPS for location tracking, and Google Maps API for real-time navigation when connected. A key innovation is the incorporation of Edge AI, utilizing TensorFlow Lite on mobile devices to enable real-time risk and safe zone predictions without cloud dependency. By combining offline functionality through cached maps and data with cutting-edge, on-device AI insights, this solution ensures reliable access to crucial information under all conditions. The project aims to provide a scalable and community-centric tool that empowers both individuals and policymakers to make informed decisions, thereby mitigating climate-driven displacement and promoting equitable climate adaptation.},
        keywords = {Climate Change, Climate Gentrification, GIS, Edge AI, TensorFlow Lite, Offline-first System, Risk Mapping, Safe Zones, GPS, Disaster Management, Climate Adaptation},
        month = {April},
        }