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Montreal, Quebec, Canada
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Recent projects

Healthcare AI Assistant Development
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.

Smart Contact Manager & AI Assistant
Quantrux Holdings Inc. aims to revolutionize professional networking and productivity with the development of a Smart Contact Manager & AI Assistant. The project involves creating an application that allows users to scan business cards and extract contact details using Optical Character Recognition (OCR) technology. The app will efficiently manage contacts and leverage artificial intelligence for smart search, scheduling, and communication. It will be accessible on both mobile and web platforms, ensuring seamless integration with Google services such as Gmail, Calendar, and Meet. The application will offer subscription-based features designed to enhance the user's professional networking capabilities. The project provides an opportunity for learners to apply their knowledge of OCR, AI, and app development in a practical setting, focusing on creating a user-friendly interface and robust backend system.

Pharmacy Staffing Mobile App Conversion
Quantrux Holdings seeks to enhance its pharmacy staffing solution by converting an existing web application, developed on Bubble.io, into native mobile applications for both iOS and Android platforms. The current web app facilitates the matching of replacement staff with pharmacies in need, streamlining the staffing process. The goal of this project is to leverage the existing web app's functionality and user interface to create a seamless mobile experience, ensuring that pharmacy managers and staff can access the platform conveniently from their mobile devices. This project provides an opportunity for learners to apply their knowledge of mobile app development, user interface design, and cross-platform compatibility. The project will focus on maintaining the core features of the web app while optimizing performance and user experience for mobile devices.

Health AI-Driven Triage Chatbot Content Development
Quantrux Holdings Inc is seeking to enhance its AI assistant chatbot to streamline the patient triage process in healthcare industry. The goal of this project is to develop a comprehensive conversation flow that effectively gathers patient information prior to consultations. This will aid healthcare professionals, such as doctors and nurses, in obtaining necessary details for accurate triage and efficient patient management. The project involves understanding the key information required for triage, designing intuitive conversation prompts, and ensuring the chatbot can handle a variety of patient responses. By applying classroom knowledge of medical protocols and patient interaction, learners will create a user-friendly and informative chatbot experience. The project will focus on creating a seamless interaction that aligns with healthcare standards and improves the overall efficiency of patient intake processes.