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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53666
Volume:
9 |
11 |
Nov 2025
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 increase in global pet adoption has led to a growing need for centralized, intelligent, and user-friendly digital pet-care ecosystems. Despite the availability of various standalone mobile applications addressing different aspects of pet management, these solutions remain highly fragmented, making it difficult for pet owners to efficiently track vaccinations, store medical records, book veterinary appointments, manage grooming schedules, or coordinate emergency rescue operations. PAW CARE introduces an end-to-end Android-based platform that consolidates all essential pet-care functionalities into a single unified interface. The system bridges the gap between pet owners, veterinarians, animal shelters, NGOs, and municipal authorities through real-time data synchronization, AI-driven insights, and community-driven support features. It integrates pet profiling, vaccination reminders, adoption workflows, emergency reporting, lost-and-found tracking, veterinary appointment booking, grooming services, and a digital community forum. The platform leverages Firebase Realtime Database to maintain instant data consistency and uses Firebase Storage for secure and reliable image-based uploads for lost pets, medical reports, and adoption listings. Role-based access ensures secure and authenticated data sharing between all stakeholders. Proposed AI components further enhance the system by analyzing pet health patterns and supporting early disease detection. This research presents a detailed system architecture, extensive literature analysis, user evaluation, and performance metrics demonstrating the platform’s effectiveness. PAW CARE showcases how modern technologies such as cloud databases, machine learning, and IoT integration can transform the pet-care ecosystem and promote responsible pet ownership.
KEYWORDS
Publication Date
10/10/2025
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.
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