Development of a Nutritional Database and Automated Feeding Recommendations for Cats and Dogs

Ovet aims to develop a comprehensive database of available pet diets for cats and dogs across North America, detailing the nutritional content of each option. This database will be used to create an automated system that calculates the appropriate daily feeding amounts based on the pet's profile (such as weight and breed) and the caloric content of the chosen diet. Additionally, the system will consider factors like the size of the food bag to provide owners with practical recommendations on feeding schedules and bag usage. This project is expected to be completed by January 2025.

Development of a Medical Chatbot for Animal Toxicology Using Applied AI and Machine Learning

The main objective of this project is to develop an AI-powered chatbot specialized in animal toxicology, capable of providing real-time advice based on specific animal types and toxicological metrics. This chatbot will be integrated into Ovet’s existing mobile and web applications, helping pet owners and veterinarians assess toxic risks efficiently. Tasks and Activities: Develop and train AI models using toxicology data for various animal species. Implement machine learning algorithms for real-time data analysis and risk assessment. Integrate the chatbot within Ovet’s mobile/web apps using Flutterflow and Firebase. Design a user-friendly interface for interaction with the chatbot. Test and validate the chatbot’s accuracy through real-world scenarios.