Empowering Pet Health and Community Safety
The project's objective is to develop a comprehensive illness prediction and analysis system for domestic animals, such as dogs, cats, and cows, using a state-of-the-art web-based platform. The technology employs advanced machine learning and image recognition algorithms to discover and analyze potential disease markers using user-submitted animal photographs. The platform classifies and evaluates the severity of observed illnesses to identify critical situations that require immediate care. The system immediately notifies local authorities and veterinary facilities when a significant sickness is detected. This results in the creation of targeted veterinary camps in the affected areas to guarantee timely medical attention and treatment. The method not only enhances early disease diagnosis but also facilitates proactive veterinary outreach, which ultimately enhances health and well-being.
Authors
- B. Ramya
- M. Ramya
- S. Abirami
- Kulothunga Rajan R
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/iccct63501.2025.11019407
- Citations
- 1
- Primary Topic
- Human-Animal Interaction Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.82