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Chicken Disease Diagnosis
Made with: Next.js, TypeScript, Prisma, MySQL
The idea for Chicken Disease Diagnosis app started when we realized that chicken farmers often struggle with identifying and treating diseases in their flock. We wanted to create a solution that could help farmers quickly diagnose and treat their chickens, potentially saving them time, money, and resources. To bring this idea to life, we collaborated with veterinary experts and used their knowledge to build an AI-powered application that could analyze a flock's symptoms and provide accurate diagnoses in real-time.
We chose to build the application using Next.js, TypeScript, Prisma, and MySQL. Next.js allowed us to build a fast and scalable web application, while TypeScript helped us catch errors early and write more reliable code. Prisma and MySQL were used to store and manage the data necessary for the application.
Overall, Chicken Disease Diagnosis app aims to be a powerful and essential tool for any chicken farmer looking to keep their flock healthy and productive. By leveraging the power of AI and veterinary expertise, we hope to provide farmers with a reliable and effective way to diagnose and treat diseases in their chickens.
We chose to build the application using Next.js, TypeScript, Prisma, and MySQL. Next.js allowed us to build a fast and scalable web application, while TypeScript helped us catch errors early and write more reliable code. Prisma and MySQL were used to store and manage the data necessary for the application.
Overall, Chicken Disease Diagnosis app aims to be a powerful and essential tool for any chicken farmer looking to keep their flock healthy and productive. By leveraging the power of AI and veterinary expertise, we hope to provide farmers with a reliable and effective way to diagnose and treat diseases in their chickens.