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.

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-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.