International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

ZeGo - Mobile Application for Canine Health Care and Analysis

Edirisooriya N.D.Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri LankaRanasinghe R.A.M.M.Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri LankaHerath H.M.V.W.K.Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri LankaApurwa W.K.E.Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri LankaSanvitha KasthuriarachchiDepartment of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri LankaThamali KelegamaDepartment of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 461-469

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.710061

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Abstract

This research article introduces a groundbreaking strategy aimed at improving dog management and care procedures by leveraging a comprehensive mobile application. The primary objective of this study is to facilitate easier access and utilization of pet-related services for dog owners and enthusiasts, with test results indicating its effectiveness. One key focus of this research is the precise identification of pure and mixed dog breeds from images, which has demonstrated promising results. Additionally, it streamlines the process of selling healthy canines that have undergone rigorous health evaluations, as confirmed by our tests. The application also provides valuable tools for calculating the correct dosage of medication based on a dog's breed, weight, and age, with the test results validating its accuracy. Moreover, it empowers users to locate nearby pet stores, check product availability, and make purchases directly through the app, as substantiated by our test findings. The incorporation of a healthcare recommendation chatbot, designed to offer insightful information about dog diseases, behaviors, food, and hygiene, is a valuable component of this application. The chatbot's functionality is supported by data accumulated regarding dog diseases, symptoms, and potential health risks associated with specific breeds and age groups. The study delves into predicting the optimal number of vaccinations required in each district to minimize human fatalities caused by rabies, with test results informing the proposed approach's effectiveness. The severity levels of these fatalities are thoroughly assessed to develop efficient preventive and control measures, a concept that our tests have confirmed as promising. This research paper suggests the creation of a digital vaccination book to ensure accurate and easily accessible records for dog vaccinations, as validated by our test results. This comprehensive approach to dog care and management holds significant potential for enhancing both animal welfare and public health, as attested by the findings of our tests.

Keywords

pet-related services, dog breed identification, dog health, medicine dosages, pet shops control measures, healthcare chatbot, health risk, severity levels, Vaccination records


Citation of this Article

Edirisooriya N.D., Ranasinghe R.A.M.M., Herath H.M.V.W.K., Apurwa W.K.E., Sanvitha Kasthuriarachchi, Thamali Kelegama, “ZeGo - Mobile Application for Canine Health Care and Analysis” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 461-469, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710061

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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