Gluu is in the process of enhancing its technological infrastructure to streamline operations and improve asset management. The project involves updating an Amazon EC2 instance to support the integration of advanced AI models and cloud services. The primary goal is to integrate the Dify Bot into Supabase for efficient data management and Vercel for a responsive front-end interface. This integration will facilitate real-time learning and condition reporting for Gluu's real-world assets, leveraging a Multi-Modal AI model. The project aims to provide learners with hands-on experience in cloud computing, AI integration, and front-end development, applying their classroom knowledge to solve real-world problems. Key tasks include configuring the EC2 instance, setting up the Dify Bot, and ensuring seamless communication between Supabase and Vercel.

The project deliverables include a fully configured and operational EC2 instance, integrated with the Dify Bot, Supabase, and Vercel. Learners will provide documentation detailing the integration process, challenges faced, and solutions implemented. Additionally, a demonstration of the AI model's learning and reporting capabilities will be required, showcasing the system's functionality and efficiency in managing real-world assets.