VetAId- Animal Disease Prediction and Prevention Using AI
1 Aditi Gunapal, 2 Abhiram G J, 3 Divya Patil, 4 Prachi Singh, 5 Tejashree K
1Aditi Gunapal, Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India
2Abhiram G J, Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India
3Divya Patil, Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India
4Prachi Singh, Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India
5Tejashree K, Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India
Abstract
Livestock health management is a major challenge in rural and semi-urban regions due to limited access to veterinary professionals, delayed diagnosis, and language barriers. Early identification of cattle diseases is critical to prevent productivity loss and economic damage to farmers. This paper presents VetAid, an AI-enabled veterinary decision support system designed to assist farmers in early disease awareness using symptom-based inputs. The system allows farmers to enter observed cattle symptoms in their preferred regional language and performs intelligent disease analysis using AI reasoning through the Groq API. A multilingual translation module ensures accessibility, while the AI engine predicts possible diseases and provides preventive measures and recommended actions. VetAid is implemented as a web-based platform and evaluated for functionality, performance, and usability. Experimental results demonstrate that the system delivers fast responses, handles multilingual inputs effectively, and presents farmer-friendly outputs. The proposed system acts as a supportive tool for early disease awareness and preventive livestock healthcare, contributing to sustainable agriculture and rural development..
Key words: Veterinary Artificial Intelligence, Livestock Disease Prediction, Symptom-Based Analysis, Multilingual System, AI Decision Support, Sustainable Agriculture.
