Our company has developed a Nutritional Healthcare POS Platform using microservices architecture (recipe management, customer management, menu management, and gateway services, etc). We need an intelligent AI-powered testing agent that can simulate real users interacting with our platform to identify bugs, performance issues, and usability problems before they affect our customers.

We would like to collaborate with students to implement this AI testing agent. Students will build a working prototype that can automatically test our microservices by simulating various user types (nutritionists, customers/patients, administrators, clerks) and their interactions with our platform. This will involve several different steps for the students, including:

• Conducting background research on our microservices architecture and API endpoints.
• Analyzing typical user workflows and interactions across our platform.
• Researching and implementing AI/ML techniques for realistic user simulation
• Developing a functional testing agent that can interact with multiple services.
• Implementing test result analysis and reporting capabilities.
• Creating a dashboard to visualize test results and platform performance(bonus challenge).

By the end of the project, students should demonstrate:

• Implementing predictive analysis to anticipate potential failure points
• Creating specialized test agents for different user types (admin, patient, nutritionist)
• Building a visual dashboard for monitoring test results in real-time

Final deliverables should include

• Source code for the AI testing agent with comprehensive documentation
• A deployment guide for implementing the testing system in our environment
• A final report detailing the implementation approach, technical architecture, and recommendations for future enhancements
• Test coverage analysis and performance benchmarks
• Demo video showing the testing agent in action (show off achievements, but documentation/reporting is enough if video isn't desired)