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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48360

Street Animal Welfare System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48360

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48360

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

Shekhar Srivastava1

UA

Utkarsh Asthana2

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Abstract

The Street Animal Welfare System is a web-based application developed to address real-time issues involving injured or neglected street animals. It serves as a centralized platform that connects citizens with veterinarians, fostering smooth communication and collaboration. The system features a dual-login setup: 1.Citizens can report incidents by uploading images and exact locations of injured animals through an integrated geo-tagging tool, enabling quick and precise responses. 2.Veterinarians can view and manage these reports through their own dashboard. Another key feature is the donation module, which allows users to contribute to animal welfare efforts such as medical care, food, and shelter. To support immediate action in minor cases, the platform includes an AI-powered chatbot that offers basic first-aid advice and medical guidance for common conditions. This helps users provide timely care without waiting for a vet. Developed using Python and modern web technologies, the system prioritizes scalability, security, and user-friendliness. More than just a tech solution, it represents a compassionate, community-driven effort to improve the lives of stray animals. Ultimately, this project addresses a crucial social issue and demonstrates how technology can drive positive change by encouraging collaboration between citizens and veterinary professionals.

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Cite This Article

Shekhar Srivastava1, Utkarsh Asthana2, "Street Animal Welfare System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48360

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Publication Date

5/20/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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