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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56302
Volume:
10 |
1 |
Jan 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
The rapid growth of domestic animal ownership has increased the demand for reliable, accessible, and efficient animal healthcare services. However, many pet owners and livestock caretakers face challenges in obtaining timely veterinary assistance, emergency support, and proper health monitoring for their animals. To address these issues, this paper proposes ANI VAIDYA, an intelligent mobile application designed for smart domestic animal care and emergency rescue management. The proposed system integrates modern technologies such as mobile computing, cloud-based data storage, and intelligent health monitoring to provide real-time support for animal owners. The application enables users to schedule veterinary appointments, monitor animal health records, receive vaccination reminders, access emergency rescue services, and communicate with certified veterinarians through a digital platform. Additionally, the system provides location-based emergency assistance and disease awareness notifications to improve animal safety and welfare. ANI VAIDYA aims to reduce response time during critical situations, enhance preventive healthcare practices, and improve overall animal well-being. The system is developed using Python, React, and JavaScript to ensure scalability, security, and user-friendly interaction. Experimental results demonstrate that the proposed application effectively improves access to veterinary services and enhances the management of domestic animal healthcare. The proposed model can be extended in the future by integrating artificial intelligence for disease prediction, automated diagnosis, and advanced analytics. Overall, ANI VAIDYA provides a comprehensive and reliable solution for smart animal healthcare and emergency management in both urban and rural environments.
KEYWORDS
Publication Date
2/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
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