PetAid - A Smart Companion for Pet Care and Well-being

Abstract

This paper introduces PetAid, a smart AI-powered web platform designed to assist pet owners and animal welfare enthusiasts in managing pet care, detecting pet mood, and making informed decisions regarding pet adoption and healthcare. PetAid integrates features like an AI assistant for symptom-based diagnosis, weather-based pet recommendations, a community marketplace, a curated lessons section, and vet consultations with map-based search. Built using React.js and Firebase for seamless UI and real-time data handling, the system also factors in environmental data like weather conditions to offer context-aware recommendations. This paper outlines the design, architecture, and functional modules of PetAid, emphasizing personalized pet wellness, user engagement, and intelligent decision-making.

Introduction

PetAid is a responsive web application designed to enhance pet care by leveraging AI, community engagement, and smart recommendation algorithms. It addresses the growing need for timely and personalized pet health insights, which traditional platforms often lack. Key features include:

• AI Symptom Checker: Offers quick pet health assessments based on symptoms.

• Weather-based Pet Recommendations: Suggests suitable pets considering user lifestyle and local weather.

• Pet Mood Detection: Analyzes behavioral cues to monitor pet well-being.

• Veterinary Consultation: Provides location-based vet information integrated with Google Maps.

• Community Marketplace: Enables pet adoption and communication among users.

• Educational Resources: Offers multimedia lessons on pet care and responsible ownership.

• Integrated Pet Product Search: Allows shopping for pet essentials via Amazon integration.

The system was developed using agile methodology with React.js frontend, Firebase backend, and includes secure authentication. Testing confirmed functionality across features and platforms, with positive user feedback on AI symptom diagnosis, mood detection, and vet access.

The project fills gaps identified in literature regarding accessible veterinary care, remote diagnostics, AI-driven pet health management, and emotional well-being support for pets.

Conclusion

PetAid provides a holistic solution for modern pet care and adoption guidance. By integrating AI, real-time communication, and contextual data like weather conditions, it personalizes care and improves decision-making. The use of Firebase ensures scalability and responsiveness, while the combination of educational content and community engagement fosters a responsible and informed pet ecosystem. Future improvements may include: • Voice-based pet diagnosis • Image-based mood detection • Vet appointment booking

References

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Copyright

Copyright © 2025 Mrs. Sheetal Patil, Ms. Sauleha Madiwale, Ms. Sakshi Kurhade, Ms. Sadiya Khadakiwale, Ms. Trupti Bhavikatti. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.