AI-Driven Livestock Health Monitoring and Prediction System

Our scale-up company in the Livestock & Dairy industry seeks to develop an AI-driven solution that integrates computer vision and predictive analytics to enhance livestock health monitoring. The system will use cameras and sensors to capture real-time data, employing computer vision algorithms to detect signs of distress or illness in cattle. By integrating predictive analytics, the solution will forecast potential health issues, allowing farm operators to take preventive measures. We will utilize technologies like TensorFlow and YOLO for object detection, and predict trends using PyTorch and OpenAI's NLP capabilities. The implementation will involve building an intuitive dashboard that provides actionable insights to farmers, improving decision-making and reducing operational costs. This project is crucial for ensuring sustainable dairy production and addressing the growing demand for efficient livestock management tools.