The increasing number of stray and injured animals in urban and semi-urban areas has created a critical need for efficient rescue and welfare management systems. Existing animal rescue processes often depend on unstructured communication methods such as social media and personal networks, resulting in delayed responses and lack of coordination among stakeholders. Furthermore, individuals who encounter injured animals often lack awareness regarding immediate first aid and access to nearby support services. This research proposes a Smart Animal Rescue and Welfare Platform using Artificial Intelligence (AI) and community integration to address these challenges. The system integrates rescue reporting, location-based service discovery, AI-driven first aid assistance, fundraising mechanisms, and community participation into a unified platform. Users can report cases, identify nearby NGOs and veterinary doctors, receive AI-based guidance for emergency care, and contribute to rescue operations. The platform enables NGOs to manage rescue cases, organize events, and recruit volunteers, while veterinary professionals can provide accessible healthcare services. The integration of AI enhances decision-making and emergency response, while community participation improves reach and effectiveness. The proposed system improves coordination, reduces response time, and enhances transparency in rescue operations.
Alate et al. (Fri,) studied this question.
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