Authors: Hritik Sharma, Utkarsh Chauhan, Vishesh Kumar, Sagar Kumar
Abstract: Animal safety and rescue management have become major concerns due to the increasing number of stray animals, lost pets, delayed rescue responses, and limited access to nearby veterinary services. Traditional animal rescue systems often lack real-time communication, centralized monitoring, and intelligent assistance, resulting in inefficient rescue operations and reduced recovery rates. To address these challenges, this research proposes PawGuardian: An AI-Powered Smart Animal Care and Rescue Ecosystem, a modern mobile-based platform designed to enhance animal welfare through intelligent technologies and real-time digital services. The proposed system integrates multiple functionalities including lost pet reporting, nearby animal hospital and shelter detection, emergency rescue assistance, GPS-based location tracking, cloud database management, and instant notification services. The platform utilizes Firebase cloud services, mobile application frameworks, and AI-assisted modules to create a scalable and user-friendly ecosystem for pet owners, rescuers, shelters, and animal welfare organizations. The application enables users to report missing pets, locate nearby rescue resources, receive emergency alerts, and improve communication among rescue communities. Additionally, the proposed system aims to improve rescue coordination efficiency, increase lost pet recovery rates, and promote public participation in animal protection activities. The integration of artificial intelligence and real-time location technologies provides the foundation for future enhancements such as automated pet identification, image-based matching systems, predictive rescue analytics, and smart emergency response mechanisms. This research demonstrates how modern mobile technologies, cloud computing, and AI-driven solutions can be utilized to develop an intelligent, scalable, and socially impactful animal care and rescue platform capable of transforming traditional rescue operations into a smart digital ecosystem.
International Journal of Science, Engineering and Technology