SARS: A Cloud-Based Stray Animal Rescue System with Mobile and Web Integration

This paper presented SARS (Stray Animal Rescue System), a technology-driven solution designed to improve the efficiency of stray animal reporting, rescue coordination, and management. The system integrates a cross-platform mobile application with a robust backend architecture, enabling seamless interaction among citizens, volunteers, NGOs, adopters, and administrators.   By incorporating GPS-based reporting, real-time notification mechanisms, and role-based workflows, the proposed system addresses the limitations of traditional manual rescue processes. The integration of modern technologies such as Flutter, Spring Boot, PostgreSQL, and cloud services enhances system performance, scalability, and reliability.   The deployment of the system on multi-cloud platforms, including Render.com and Microsoft Azure, demonstrates its ability to operate efficiently across different cloud environments while maintaining consistent performance. Experimental results indicate improved response time, better coordination among stakeholders, and enhanced user engagement.   Despite certain limitations such as dependency on network connectivity and temporary data storage constraints, the system provides a scalable and effective solution for modern stray animal management. Future enhancements can further extend the system’s capabilities by integrating artificial intelligence for animal identification, predictive analytics for hotspot detection, and real-time communication features.

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