Copyright © 2026 Authors retain the copyright of this article. This article 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.

@article{183955,
        author = {Yeshwanth Pilla and P. Sanyasi Naidu},
        title = {Web-Based Animal Disease Prediction: A Random Forest Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {3712-3718},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183955},
        abstract = {The health of livestock is vital for the agricultural economy and the food supply chain. Detecting diseases in animals early can lower mortality rates, protect farmers' incomes, improve the productivity of milk, meat, and fiber, and stop the spread of zoonotic infections. This study presents a user-friendly web-based system for predicting animal diseases. It uses a machine learning model called Random Forest, which is implemented through the Weka library, with a modern full-stack setup. The frontend is created with Angular, while the backend relies on Spring Boot. The dataset contains information about eight animal types and 120 breeds. It includes demographic data, such as age, gender, and weight, physiological data like body temperature and heart rate, temporal data on symptom duration, and 25 binary indicators of symptoms or clinical signs. The trained Random Forest model achieved an impressive 99% accuracy on evaluation data that was set aside. The predicted disease outcomes are returned to the Angular frontend, enabling farmers to quickly book veterinary appointments. This smooth connection between prediction and care improves access to animal healthcare, especially in rural and underserved areas.},
        keywords = {Animal Disease Prediction, Machine Learning, Random Forest, Weka, Angular, Spring Boot, Veterinary Decision Support, Livestock Health.},
        month = {August},
        }