Blue Almond – Smart Shelf Interaction Analytics App Development

Blue Almond is developing a smart retail shelf system that enables brands and agencies to track how customers interact with products in-store. Using embedded sensors and a microcontroller, the smart shelf collects data such as proximity, pickup duration, and engagement per product. This project will focus on developing the software side of the system, a responsive web or mobile application that receives sensor data and provides real-time analytics to brand users. The platform will help marketers understand customer behaviour at the shelf level and select emotional engagement features like ASMR. We are seeking a student team to help us design, develop, and test a functional MVP of the application. Project Objective & Goal The main objective of this project is to develop a functional MVP for the Blue Almond smart retail shelf software platform, a responsive web or mobile application that connects to sensor-enabled retail shelves and delivers real-time interaction analytics to brand and agency users. This project aims to: Enable real-time data visualization of customer interactions (e.g., how long a product is held, how many times it's picked up) Allow brands to customize the customer experience by selecting ASMR soundscapes played when products are interacted with Provide actionable marketing insights through an intuitive dashboard tailored to the retail and advertising industry Ultimately, the goal is to empower marketers with physical-world engagement data, bringing digital-level analytics to in-store product placement while helping Blue Almond reach the next stage of product development and commercial readiness.

Development of Smart Solar Panel Automation System for Greenhouses (Voltaic Green)

This project is grounded in a clear technical vision but the concept is flexible and open to evolution based on student research, creativity, and insights. Students are encouraged to contribute new ideas, refine system architecture, or propose alternate approaches that enhance functionality or scalability. This project involves the full-cycle design and development of a smart solar-powered automation system for greenhouse environments. Students will build a hardware-software system from the ground up to control semi-transparent and transparent solar panels that regulate shading, temperature, and humidity inside greenhouses. The system will include environmental sensors (light, temperature, humidity), a motorized rotator, and a central IoT control unit. In addition to local automation, the project will include the development of a web-based application and backend system that tracks energy generation and consumption data, calculates energy savings, and enables simulated or real participation in net metering programs or energy trading platforms. This will help greenhouse operators quantify their environmental impact, track cost savings, and potentially sell surplus energy back to the grid or in future cross-border renewable energy markets. Design and prototype electromechanical systems (sensors, rotators, actuators) Develop IoT systems for data acquisition and real-time environmental monitoring Implement algorithms for dynamic solar panel positioning based on sensor feedback Build a user dashboard that visualizes climate and energy data Integrate logic to calculate energy savings and emissions reductions Simulate or prototype API connections to a net metering or energy trading interface Gain experience with renewable energy systems, greenhouse automation, and energy data modeling

AI-Driven Personalized Medication Dosage Web App

Aptamer Therapeutics is a biotech startup innovating in smart drug delivery through AI and biosensor integration. While their flagship product utilizes microneedle-based systems, this project focuses exclusively on developing a supporting AI system for dose prediction that can be integrated with various delivery mechanisms in the future. Aptamer Therapeutics is developing a web-based AI application to calculate optimal drug dosages based on individual patient characteristics, including sex, weight, and age. This project will involve building a prototype that can interpret input values and suggest safe and effective medication dosage ranges in real-time.

Boosting Traffic & User Engagement for AloWish: Data-Driven Digital Marketing Strategy

AloWish is an intelligent travel platform that combines accessibility data, AI-driven recommendations, and a proprietary algorithm to create safe and inclusive travel experiences for individuals with health conditions or disabilities. The platform offers SaaS services, affiliate marketing, and curated travel packages through a growing network of partners in Canada, Europe, and India. This project aims to increase AloWish’s platform traffic and user engagement by leveraging digital marketing strategies, analytics, and performance optimization techniques.

B2F Platform Usability Prototype

Barter Marketplace, a client of LaunchPath Inc., seeks to enhance its platform's usability by transforming its current website into a functional, user-centred prototype. This project focuses on designing and testing core user flows—such as AI-based service matching, listings, and multi-party barter loops—to improve the experience for freelancers and small businesses. The student will conduct user research, develop wireframes, and build a clickable prototype aligned with Barter’s business-to-freelancer (B2F) model. The final deliverable will support Barter Marketplace’s product development roadmap and ensure the platform meets the needs of its target users.

AI-Powered Web Application Development for Flutter Energy

This project involves developing core components of Flutter Energy’s AI-powered web application, focusing on integrating AI functionality and scalable web features. The goal is to create a robust platform that meets industrial users' needs while ensuring data security and regulatory compliance. Learners will apply their knowledge of web development, AI integration, and cybersecurity to build a reliable product roadmap. The project will require the team to design and implement scalable features that can handle industrial-scale data processing. By working on this project, learners will gain hands-on experience in developing secure and compliant web applications, preparing them for real-world challenges in the tech industry. Task 1: Product Management and Feature Planning (Weeks 1-2) Conduct competitive research to identify key features from existing industrial energy management platforms. Develop a product roadmap outlining development milestones for the next 12-24 months . Create user stories and feature specifications for AI-driven functionalities: Peak demand predictions. Real-time energy usage monitoring. Cost-saving recommendations. Milestone: Submission of a product plan with prioritized features and a development timeline. Task 2: AI Development and Integration (Weeks 3-5) Build and integrate AI models for predicting peak energy demand using historical and real-time data. Ensure compliance with data privacy standards (e.g., ISO 50001 for energy management, GDPR for data handling if applicable). Test and refine AI functionality to improve prediction accuracy and responsiveness in real-time applications. Milestone: Completion of AI features with test results demonstrating predictive accuracy and effectiveness. Task 3: Web Application Development (Weeks 4-6) Develop the front-end interface using Flutter for Web , focusing on intuitive dashboards and real-time data visualization. Set up the back-end architecture using Firebase or another cloud solution for data handling and user management. Optimize the app for scalability and performance , ensuring it can handle large data volumes from industrial users. Perform QA testing to ensure functionality, usability, and security across different browsers and devices. Milestone: Delivery of a functional prototype or Minimum Viable Product (MVP) that integrates AI predictions and energy data analytics. Task 4: Documentation and Final Review (Weeks 7-8) Compile comprehensive product documentation , including the product roadmap, feature descriptions, and technical architecture. Provide detailed AI development documentation , covering algorithms, model training processes, and data privacy measures. Document the web application development process , including code structure, technology stack, and deployment strategy. Present a final project report summarizing outcomes, lessons learned, and recommendations for future development. Milestone: Submission of final documentation and a presentation showcasing the developed web application.

Business Growth Curriculum Expansion for LaunchPath Inc.

Main Objective and Goals: LaunchPath has already developed the foundational curriculum for its two business growth programs. This project now focuses on expanding, refining, and enhancing the content to create a more robust and interactive educational experience. Students will build upon existing materials to develop: Additional case studies tailored to diverse industries and Canadian business environments Expanded market research assignments with current data sources Advanced growth strategy exercises rooted in real-world application Interactive components and activities to increase learner engagement Suggested improvements to the course delivery format and structure The ultimate goal is to evolve the current curriculum into a more dynamic, comprehensive program that continues to support LaunchPath’s mission of helping businesses start, grow, and scale successfully in Canada.

Strategic Market Research and Community-Based Expansion

Categories: Indigenous Community Health Strategy Healthcare Technology Strategy B2B & Community Lead Generation Digital Market Expansion Market Research Skills: Competitive analysis and research Indigenous health systems & community partnership mapping Healthcare market expansion strategy B2B & stakeholder lead generation Business strategy and impact development Community-driven service design Project planning and risk analysis Cross-cultural communication and engagement Details: The objective of this project is to conduct a comprehensive competitive analysis of the Canadian telehealth market, identify opportunities for market expansion and begin generating leads for potential partnerships. A key focus will be on exploring how Telerehab AI can be introduced into First Nations communities, where access to timely rehabilitation services is often limited. This platform has the potential to fill a critical healthcare gap by offering culturally sensitive, remote rehabilitation solutions that improve accessibility and health outcomes. Students will also develop a business roadmap to guide Telerehab AI’s growth strategy, with a focus on community-driven deployment and partnerships that align with the platform’s social impact goals.

Barter Marketplace Platform – AI-Powered B2F Service Exchange

Barter Marketplace is a startup building a B2F (business-to-freelancer) platform that enables professionals to exchange services through AI-powered matching and barter loops, rather than using cash. The current site is a basic web presence, and the goal of this project is to design and build a functional, scalable web application that supports user registration, service listings, AI matching, and multi-party barter flows. Students will work with the sponsor to turn the concept into a working prototype with key front-end and back-end components, adhering to usability and performance standards suitable for future scaling. Students will gain hands-on experience with full-stack web development, integrating AI logic for service matching, designing user-centric interfaces, and implementing a secure barter transaction system. They will attend bi-weekly virtual meetings with the sponsor (LaunchPath Inc.) for feedback, sprint reviews, and technical direction. Communication will be primarily online via Zoom and email. The project sponsor will be highly engaged, providing documentation, support materials, and access to a working Figma prototype and early mockups.

Application development

Partify is a localized marketplace for industrial parts, connecting manufacturers and contractors with idle inventory sitting on shelves across various industries (e.g., manufacturing, automotive, construction). The platform aims to reduce production delays caused by missing parts and to unlock the value of unused inventory through smart AI-powered search and secure escrow-based transactions. This capstone project will involve building the MVP (Minimum Viable Product) of the web platform, where users can register, list parts, search for inventory, filter by proximity, and complete transactions without direct buyer-seller contact. Timeline Breakdown (8 Months) Month 1–2: Planning & Research Finalize MVP feature list with sponsor Research platform architecture and user flows Set up project repository and tools Month 3–4: Front-End & Back-End Foundations Develop user registration & authentication system Build listing form for posting parts (with images & tags) Set up database schema (inventory, users, orders) Month 5–6: Core Features & Escrow Logic Implement search & filter by proximity Integrate AI-based part suggestion logic (basic ML logic or placeholder) Build escrow-based transaction workflow (payment lock + release after pickup) Month 7: Testing & UX Improvements Conduct internal QA testing Refine UI for listing, browsing, and payment Add basic analytics dashboard for users Month 8: Deployment & Handoff Deploy MVP to a hosting platform Deliver final documentation and video walkthrough Conduct sponsor demo & feedback session Students will gain real-world experience in: Designing scalable full-stack applications Implementing geolocation-based search filters Integrating secure payment systems and escrow logic Applying AI/matching logic for relevant part recommendations Working with real business use cases, stakeholders, and customer feedback

Reflekt AI Mental Health App Development

This project focuses on supporting Reflekt , an AI-driven mental health app, by enhancing its product strategy, AI functionality, and application development. The goal is to provide students with real-world experience in product management, AI technology integration, and mobile app development. Students will play a critical role in creating features like personalized journaling prompts, mood analytics, and guided mindfulness tools, with an emphasis on scalability, security, and user experience. Students will collaborate across multiple disciplines, working on developing an innovative product aimed at improving mental health and well-being. This opportunity is perfect for students interested in software engineering, artificial intelligence, product management, UX/UI design, and mobile app development .