Web and Mobile Application
Web and Mobile Application
Developing Cutting-Edge Web and Mobile Applications, Leveraging Innovation to Create Intuitive, Scalable, and User-Centric Solutions, That Drive Business Growth and Digital Transformation. The applications are designed to seamlessly integrate with existing systems, enhancing accessibility and engagement across platforms.
Career CoPilot - AI-Powered Career and Hiring Platform
The Career CoPilot project turned an early AI career tool into a full, production-ready platform for job seekers and employers. The version inherited from our client, CaIoT, worked as a demonstration but could not run as a real business: it exposed its AI keys in the browser, tracked usage on the client, and had no payment flow or automated tests. The team rebuilt it on a secure, server-governed foundation, moving every AI call, credit change, and payment behind an authenticated backend. The platform brings the whole job search into one place, with AI tools that score and rewrite resumes, run mock interviews, and build career plans across seven languages and market-specific resume formats, alongside an admin console that lets the client manage AI models, prompts, and pricing without touching code. The result is a secure, multilingual, and operable product that the client is now preparing to launch to real customers.
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Mission Q: A Spacecraft Simulator
Mission Q is a spacecraft operator training extension built on an existing Space Mission Operations (SMO) simulator. The project addresses the challenges of creating realistic debris-impact training scenarios, a process that can require instructors to manually configure failure parameters and verify complex subsystem interactions. Mission Q introduces a Generic Error Script Generator, Cascade Effect Preview, and operator-oriented recovery guidance to help instructors create simulator-compatible scenarios more efficiently and support trainees in diagnosing and recovering from spacecraft anomalies. By evolving from a single predefined debris-impact scenario into a reusable scenario-generation framework, Mission Q aims to improve the efficiency, repeatability, and accessibility of spacecraft operator training.
TireFlow is an integrated digital platform that simplifies seasonal tire services by connecting Canadian drivers with automotive service partners.TireFlow digitizes the entire process—from booking and inventory management to pickup requests and secure online payments—creating one seamless experience for both customers and businesses.
Through a Flutter mobile application, a web-based management dashboard, and Firebase cloud services, the platform digitizes booking, inventory management, payment processing, and warehouse operations. TireFlow improves efficiency, enhances user experience, and provides a scalable solution for modern tire storage businesses.
Ami - Cognitive-Style Adaptive AI Tutor
Ami is an adaptive tutoring system that personalizes learning goals, learning paths, session content, quizzes, and tutoring support around each learner. The current codebase works toward a fuller tutoring platform with persistent runtime state, verified-content grounding, adaptive learner modelling over time, and production-style backend/frontend integration. The key capabilities of Ami include goal clarification and skill-gap analysis, adaptive learner modelling, personalized learning paths and sessions, multi-modal learning content, tool-using tutor and quality, safety, and analytics.
WebExpress AI is an AI-powered no-code website creation platform designed to make website development more accessible for entrepreneurs, startups, small and medium-sized businesses, and users without technical expertise. By combining no-code development with conversational AI, the platform enables users to create, edit, and maintain functional websites through natural language commands. Using large language models to generate website layouts, code, and content, WebExpress AI reduces the technical complexity and development time traditionally associated with building professional websites while supporting iterative refinement and customization.
Doctors face mounting cognitive load, documentation overhead, and fragmented data, which slow clinical encounters and delay decisions. We built a clinician-in-the-loop decision support assistant that reduces time to safe, defensible decisions and documentation—while maintaining or improving diagnostic quality and physician confidence.
CaloT SkillSwap is a hyper-local marketplace connecting residents for trusted skill exchanges. Addressing gaps in traditional platforms, it leverages AI-driven matching and robust identity verification. The system integrates a cross-platform architecture (Web & Mobile) with secure Stripe payments, enabling seamless and safe collaboration within local neighborhoods.
This project designed an AI-powered decision-support system for emergency departments to improve triage efficiency, patient prioritization, and resource allocation. Traditional emergency care workflows often suffer from long wait times, inconsistent prioritization, and limited visibility into operational performance, while existing solutions primarily focus on basic patient classification and do not support real-time clinical actions. The proposed system integrates conversational AI, clinical validation, and operational analytics into a multi-stage decision-support framework. It includes an AI triage agent that interprets patient symptoms via text or voice input, a nurse validation layer that incorporates vital signs to enhance clinical reliability, and a decision-support agent that recommends patient routing and care pathways. An operational dashboard provides real-time insights into patient flow and resource usage across the department. The outcome is an intelligent and explainable triage support system that enables faster, more informed decision-making and improves overall emergency department efficiency.
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AI-supported platform to enable community-driven lifelong learning (LEAP)
LEAP is a web-based platform designed to support lifelong learning by providing personalized, community-driven education. The platform uses artificial intelligence to generate customized learning plans for users based on their goals, interests, and learning preferences. LEAP enables users to upload educational resources, receive AI-powered recommendations, and explore content that is relevant to their learning journey. Unlike traditional platforms, LEAP focuses on providing flexible, self-directed learning opportunities that cater to individuals with limited time or resources for formal education. The platform encourages community contributions, allowing users to share knowledge and experiences. It fosters collaboration and peer-to-peer learning, making education accessible to all. Through user-friendly features like personalized study plans, content discovery, and a dynamic feedback loop, LEAP aims to address barriers to learning and empower users to achieve their educational goals at their own pace. The platform also ensures scalability and adaptability for future enhancements.
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Orion is a surgical AI assistant that integrates artificial intelligence and augmented reality to enhance robotic-assisted surgery. Through AI reasoning, voice recognition, and real-time AR visualization, Orion enables surgeons to access and interpret critical patient data hands-free during operations. The system combines Python (FastAPI), Unity, and WebSocket protocols to synchronize AI reasoning with AR overlays in real time. Designed and tested by three graduate students, Orion demonstrates how human-centred AI can improve surgical precision, safety, and decision-making.
A machine learning system that turns messy HTML webpages into clean, structured event data faster, smarter, and more reliably than traditional web scraping.
This project focused on designing a mobile-friendly, low-cost cemetery management system for volunteer church board members, aimed at replacing traditional paper-and-Excel-based workflows. Existing plot management relied on tape measures, wooden stakes, and scattered records, making plot identification, navigation, and data updates time-consuming and error-prone. The solution introduces a centralized web application that enables users to search plots by number, access organized digital records, and manage cemetery data directly on-site through mobile devices. Built with simplicity and accessibility in mind, the system supports real-time data management and intuitive navigation without requiring technical expertise. The outcome is a practical and deployable digital platform that improves record accuracy, streamlines cemetery operations, and reduces dependence on manual processes.
The Athlete Wellbeing Application is a bilingual (English/French) web app developed for a soccer coach at CEPEO École secondaire publique in Ottawa. It addresses a communication gap in which teenage athletes aged 14–19 were reluctant to voluntarily share wellness information that affects their training. Athletes complete a daily check-in in under 60 seconds, reporting sleep quality, fatigue, muscle soreness, mental stress, and mood through an intuitive interface featuring an interactive body map. Coaches access a structured dashboard displaying individual and team wellness trends, risk flags, and pattern alerts to support better-informed training decisions
National Indigenous Climate Compass (NICC)-- Fire Map
An integrated web platform that combines wildfire visualization, community-specific climate and species trend charts, and role-based information management.
A community‑scoped infrastructure management module within NICC that lets back‑office administrators and community partners view, add, and validate infrastructure assets for their own Indigenous communities.
Move It, Calculate It: Revolutionizing Relocations with Jason's Smart Moving App!)
Jason’s Moving Company faced operational inefficiencies in job scheduling, employee task assignment, and customer communication, which impacted service delivery. This project aims to streamline these operations by developing an automated Workplace Management System. The system will automate job assignments based on employee availability, send real-time notifications to keep management, employees, and customers informed, and provide accurate cost estimates to avoid discrepancies. The platform also includes features like a real-time employee management system, automated job scheduling, and integration with cost estimation algorithms. The solution is designed to improve operational efficiency, increase employee productivity, and enhance customer satisfaction by reducing delays and errors. Through an intuitive user interface and improved communication systems, Jason’s Moving will be able to meet customer expectations more effectively. The system is also built for scalability, ensuring it can grow with the company as its operations expand.
Ruh Dashboards (Client-Therapist-Management)
The Ruh Care project focuses on developing an interactive data visualization dashboard to improve the management of mental health services. The platform aims to streamline client engagement, therapist performance tracking, and session metrics by automating data processing and providing actionable insights. The dashboard will allow Ruh Care to better manage client demographics, track therapist performance, and analyze session data in real-time, thereby improving overall operational efficiency. With a user-centered design approach, the project ensures that the platform is intuitive, accessible, and easy to navigate for all users, from therapists to administrators. The system will integrate robust data cleaning mechanisms to ensure data accuracy and reliability. Usability testing will be conducted throughout the development process to refine the platform, ensuring it meets the needs of therapists and clients. Ultimately, this dashboard will enhance decision-making, support operational efficiency, and improve patient care delivery.
National Indigenous Climate Compass
The NICC project is designed to support Indigenous communities in addressing the impacts of climate change by bridging the gap between global climate models and traditional Indigenous knowledge. The project focuses on creating an online platform that allows Indigenous leaders to manage and share local data, such as species sightings, news, events, and climate-related information. It includes key features such as infrastructure management, event management, species tracking, and climate data visualization, all of which are critical for informed decision-making. The platform integrates global climate data with local, community-driven content, ensuring it is both technically robust and culturally respectful. The goal is to empower Indigenous communities to control and share their data, improving their resilience to climate change. This platform is built to be user-friendly, secure, and scalable, helping communities take proactive measures for climate adaptation and resilience in a way that reflects their values and traditions.
AI-Powered Agile Lifecycle Platform
This project focused on analyzing a real-world engineering and organizational challenge and developing practical, data-driven solutions to address identified gaps. Our team worked closely with project requirements and stakeholder expectations to evaluate existing workflows, identify inefficiencies, and propose improvements grounded in research and professional practice. Using benchmarking, structured analysis, and iterative feedback, we translated complex findings into clear, actionable deliverables. The project emphasized usability, clarity, and feasibility, ensuring that proposed solutions could be realistically implemented within operational constraints. Through collaborative teamwork, we produced well-documented outcomes that balance technical accuracy with effective communication. This project highlights the importance of applying engineering problem-solving methods beyond technical design, demonstrating how structured analysis, stakeholder-focused thinking, and clear documentation can contribute to improved decision-making, operational efficiency, and long-term impact in an industry or organizational setting.