Quantrux Holdings Inc is developing an AI assistant specifically for the healthcare industry. The main goal is to build a smart, reliable system that can answer patient questions and collect relevant information efficiently over the phone. The assistant will be powered by a large language model (LLM), such as OpenAI's GPT (via the OpenAI API) or similar models — whichever best fits the performance and privacy needs of the project.

The AI will have voice and telephony integration to handle live patient calls, providing a natural and responsive experience. A simple desktop interface will also be built to display the patient-AI conversation in real-time, allowing healthcare staff to follow along or intervene if needed.

The assistant will be developed using Python and structured around a predefined dialogue flow and decision tree. Students will use these resources to focus on implementing the AI logic, voice integration, and backend processing. This project gives learners hands-on experience with applied AI in a real-world healthcare context, covering both technical and conversational design.

The final deliverables for this project include a fully functional AI assistant capable of engaging in healthcare-related conversations and collecting patient information. Students will provide a documented codebase written in Python, demonstrating the integration of the LLM. Additionally, a comprehensive report detailing the development process, challenges encountered, and solutions implemented will be required. The project will culminate in a presentation showcasing the AI assistant's capabilities and potential applications in the healthcare industry.