Abstract
The primary goal of the proposed system is to identify the symptoms of cattle diseases and then forecast the relationship between symptoms, diseases, and treatments. The suggested method combines data science techniques to recognize the signs of cow sickness and forecast patterns. The proposed system employs the "Eclat algorithm" data science technique to identify the patterns. The system is intended to be developed as a real-time application that helps veterinarians treat cattle diseases.
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