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@article{199685,
        author = {Harsh Dipak Panchani and Ravi N and Nisarga Angadi and Punith B and Dr. Sunil Manoli},
        title = {Suraksha Path - Disaster Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {15811-15814},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199685},
        abstract = {A fully integrated, Artificial Intelligence-driven, disaster-response engine designed to facilitate seamless management of large-scale emergencies. The main design principles of the platform revolve around providing an integrated system to account for all stages in the disaster cycle: risk reduction, emergency preparedness, live response, and rebuilding. The system is designed to incorporate multiple modern technologies, such as real-time geospatial mapping providing high quality situational awareness, resilient multichannel communications systems, and advanced AI-based insights for predictive intelligence and decision support. This comprehensive suite of technologies was designed to serve all relevant parties — from on-the-ground first responders and local volunteers up through government and those in need. Suraksha Path intends to boulders down the level of decision-making latency by centralizing data and utilizing artificial intelligence for efficiently and swiftly better coordination between different agencies, thereby providing a whole data-driven-police management perspective ensuring saving precious lives with less damage to property.},
        keywords = {Disaster Management, Artificial Intelligence, Emergency Response, Real-Time Mapping, GIS, Volunteer Coordination, Situational Awareness, Data-Driven Decision Making},
        month = {April},
        }