CattleVetLook: A multimodal large language model integration for autonomous cattle disease diagnosis

Author(s)	Mr. Rajkamal R, Ms. Supraja U, Ms. Susmitha U, Ms. Parveen Banu N
Country	India
Abstract	Livestock health is a critical factor in rural economic stability, yet immediate access to veterinary expertise remains a significant challenge. This paper presents CattleVetLook, an autonomous diagnostic framework that leverages the multimodal capabilities of the Google Gemini AI model. Unlike traditional classification systems, this platform performs integrated visual recognition and clinical reasoning to identify bovine dermatological diseases and generate medically grounded treatment plans. To ensure inclusivity for rural farmers, the system integrates ElevenLabs Generative Voice AI to deliver natural-sounding diagnostic results in regional languages such as Tamil and English. Furthermore, a geospatial module connects users with the nearest certified veterinarians for urgent physical intervention. Developed using Firebase Studio and Flask, the system demonstrates high diagnostic accuracy and serves as a scalable, 24/7 virtual veterinary clinic.
Keywords	Veterinary AI, Multimodal LLM, Gemini AI, ElevenLabs, Bovine Disease Diagnosis, Firebase Studio, Rural Healthcare.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-20
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.71804

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