AI-Driven Menu Management System

The project aims to develop an AI-driven menu management system for CARDWATCH POS, a company specializing in point-of-sale solutions for the dining industry. The primary goal is to create an intelligent menu agent that can assist dining managers in generating custom menus tailored to future dining trends and customer preferences. This system will incorporate a user-friendly dashboard, allowing managers to easily navigate and utilize the application. By leveraging AI, the project will also provide data reporting features to support day-to-day operational needs, enhancing decision-making processes. The technical foundation of the project will be built using Python for the AI components and PostgreSQL for database management. This project offers learners the opportunity to apply their knowledge of AI, database management, and user interface design in a practical setting.

AI-Powered User Testing Agent For Nutritional Healthcare POS Platform

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).

- Frontend

This project aims to develop a frontend menu management system for our SaaS-based POS system. Interns will use React to create an intuitive, responsive, accessible, and visually appealing menu management interface for managing dining options across various service styles, utilizing mock-up data to simulate backend integration. The goal is to enhance user interaction and operational efficiency in menu management for senior living communities and educational institutions.

Assistive Technology HID Integration

We are looking to create a HID integration with C++/Embedded C/C#. Any of these skills is preferred. We are creating an assistive technology to help people who can only use their mouth to interface with a digital device. This will involve several different steps for the students, including: - Researching existing HID integration technologies. - Developing a HID integration software that is compatible with C++/Embedded C/C#. - Optimizing software runtime performance and assessing areas for improvement. - Testing the developed software and making improvements based on additional data. - Developing a user interface that is accessible for people with limited mobility.