SpeciSphere Classification: An App that classifies an Image and Provides Veterinary Diagnostics for Canines (Dogs)
Year: 2025
Type: article
Abstract: The paper discusses an intelligent image diagnosis and classification system that can identify general objects and make specific disease prediction in dogs. It starts by classifying the webcam-captured or uploaded image with a trained ResNet-50 convolutional neural network. Once it identifies the presence of a dog, it goes ahead to detect the breed and enables a rule-based diagnostic module to predict probable diseases, focusing on breed-related conditions. The diagnostic engine is based on an organized database correlating symptoms and breed predispositions to prevalent dog illnesses, facilitating more precise and context-dependent diagnosis. The web app, implemented with Python and Streamlit, supports real-time webcam functionality, user login, and safe activity logging through SQLite. The modular design of the system ensures user-friendliness, flexibility, and realistic applicability for pet owners, vets, and scientists. Possible enhancements in the future can involve integrating image-based disease detection and explainable AI methods to enable more automated and scalable diagnoses.
Authors: A Hemanth Datta, A Hrushi Jiyyan, Dr. K. Sreekala, G. Nagi Reddy, Dr. A.Nagesh
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6911974653
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