International Journal of Scientific Research and Engineering Development

Ensuring genetic improvement of dairy cattle is essential to increase milk production and sustainability of the livestock industry. Efforts to improve the native breed are made through projects like Rashtriya Gokul Mission in India, however, methods of animal type classification, progeny testing, and pedigree selection like manual scorekeeping, record-keeping, and field testing, respectively, are timeconsuming and unreliable. In addition, farmers and stakeholders who are involved in livestock rearing often find these tasks hard and cumbersome. Hence, this paper proposes an AI-powered web application called 'Smart ATC-AI System' to ease these processes and make them more efficient. This solution will allow farmers and vets to upload photographs of the animals, enter the necessary information, get evaluation results in the form of scores, and breeding recommendations. Moreover, a multilingual voice-based chatbot will be included in the system to provide guidance for users in English, Hindi, and Marathi languages. Consistent and reliable results obtained in accordance with existing ATC criteria are provided by the system. The proposed solution allows for minimizing the involvement of experts and simplifying access to the service

Rupali Bandge, Darshan Band, Pavan Baraskar, Dr.Suhas Mache,"Smart ATC-AI System For Dairy Animals: An AI-Powered Web Application For Animal Type Classification, Progeny Testing and Pedigree Selection" International Journal of Scientific Research and Engineering Development, V9(3): Page(405-410) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.