Enhancing Animal Rescue Efficiency Using AI for Real-Time Reporting and Assistance

DOI

10.2991/978-94-6463-738-0_95How to use a DOI?

Keywords

Animal Welfare Tech; Mobile Rescue Apps; Rescue Coordination; Emergency Animal Reporting; Shelter Management; Animal Adoption Solutions; Real-Time Rescue Monitoring; AI Chatbots for Animal Welfare; Image Recognition for Animal Rescue

Abstract

Stray animals face significant challenges, including abandonment, neglect, and limited access to care. Research reveals that traditional rescue methods are hindered by fragmented communication, inefficient reporting systems, and insufficient community involvement. This study analyses the current state of animal rescue systems, identifying key gaps that impede effective intervention. Through comprehensive research involving rescue organizations, volunteers, and community members, we identified the need for a centralized, user-friendly platform to improve coordination and resource management.

In response, a mobile application was designed, incorporating advanced technologies such as an AI-powered chatbot and an image recognition system to enhance reporting accuracy and streamline rescue operations. The chatbot provides instant assistance, addressing user inquiries and guiding them through rescue and adoption processes, while the image recognition system facilitates the identification of stray animals, accelerating response times. This research evaluates the application’s potential to bridge communication gaps between rescue organizations and the community, offering a more structured approach to animal welfare. By automating tasks and fostering greater public participation, the platform has the potential to revolutionize animal rescue operations. The study underscores the importance of technology-driven solutions in creating a more efficient and compassionate rescue ecosystem.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mahak Rajwani
AU  - Lacky Kannauje
AU  - Mohammad Noushad
AU  - Anand Tamrakar
PY  - 2025
DA  - 2025/06/22
TI  - Enhancing Animal Rescue Efficiency Using AI for Real-Time Reporting and Assistance
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 1241
EP  - 1253
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_95
DO  - 10.2991/978-94-6463-738-0_95
ID  - Rajwani2025
ER  -