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.

AI-Powered Interactive Bookkeeping Assistant MVP

LaunchPath Inc. is developing a Minimum Viable Product (MVP) for an AI-powered interactive bookkeeping assistant . The goal is to create a system that can scan and extract information from bank statements, receipts, and invoices, automatically categorize transactions, and interact naturally with users to confirm uncertain entries. Unlike static automation tools, this agent will learn user preferences through conversation — asking clarifying questions, remembering context, and improving accuracy over time. The project’s objective is to demonstrate how LLM-driven automation can simplify financial management for freelancers and small businesses while maintaining transparency and user control.

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.

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.