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.

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.

Business Growth Curriculum Development for LaunchPath Inc.

Students will produce a set of comprehensive course materials for each business growth program offered by LaunchPath. Deliverables include: Detailed case studies relevant to business growth and scaling. Market research assignments focused on Canadian business contexts. Growth strategy exercises aligned with real-world challenges. Interactive components designed to foster engagement and practical application of concepts. These deliverables will form a cohesive curriculum package that LaunchPath can implement in its educational offerings.

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 .