AI-Powered Diagnostic Imaging Enhancement for Veterinary Clinics

The veterinary industry is increasingly relying on diagnostic imaging for accurate and timely diagnosis of animal health issues. However, the manual interpretation of radiographs can be time-consuming and subject to human error, leading to delayed treatment and increased operational costs. To address this, our scale-up is embarking on a project to develop an AI-powered tool using cutting-edge technologies like the OpenAI API and TensorFlow. This tool will leverage LLMs and computer vision to analyze radiographic images and automatically generate detailed diagnostic reports. By integrating the tool with existing veterinary software, we aim to streamline the diagnostic process, improve accuracy, and ultimately enhance patient care. The project will involve developing a robust machine learning model trained on a diverse dataset of veterinary radiographs, implementing NLP for report generation, and ensuring seamless integration with existing clinic workflows. The solution will also feature predictive analytics to offer treatment recommendations based on historical data, further assisting veterinarians in making informed decisions. With a budget range of $15,000 to $50,000 and a timeline of 8-12 weeks, this project represents a strategic investment in innovation, aimed at meeting the growing demand for efficient and accurate veterinary diagnostic solutions. We are looking for a skilled freelancer with expertise in AI and machine learning, particularly in computer vision and NLP, to lead the development of this transformative tool.