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.

1. Final Product: A fully functional AI-driven medical chatbot capable of providing real-time advice on animal toxicology across multiple species. This product will integrate into Ovet’s existing digital health platform, offering pet owners and veterinary professionals a reliable, innovative tool for assessing toxicological risks.
2. Technical Documentation: Detailed documentation will include AI model specifications, chatbot architecture, machine learning algorithms, data processing pipelines, and APIs used for integrating the chatbot into the existing platform. The system's architecture and data flow will be documented to enable future scalability and maintenance.
3. Data Testing and Quality Assurance: Students will develop test cases and quality assurance protocols to ensure the chatbot performs accurately and efficiently across a range of real-world scenarios. They will provide a comprehensive validation report on the chatbot’s performance, identifying areas for improvement.
4. Demonstration and Presentation:  A final project presentation will include a demonstration of the chatbot’s functionality, highlighting the AI’s toxicology risk assessment capabilities, along with any data insights generated by the machine learning algorithms.