AI-Driven Predictive Health Monitoring for Veterinary Clinics

Our veterinary service company, currently in a scale-up phase, is focused on integrating innovative AI technologies into our clinical operations. We require a robust AI-driven system that utilizes computer vision and predictive analytics to monitor pet health. This system will analyze visual and biometric data captured during routine check-ups to identify potential health issues before they become critical. Key features will include a computer vision module for anomaly detection using YOLO and a predictive model built with TensorFlow and PyTorch for health forecasting. The solution should also incorporate NLP capabilities to interpret veterinary notes and enhance communication between veterinarians and pet owners. The project will involve developing a user-friendly interface, ensuring seamless integration with existing clinic management systems, and providing comprehensive training to our staff. The successful implementation of this system is expected to elevate our service quality, reduce time spent on diagnostics, and increase customer retention through improved pet health outcomes.