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.

Turbocharge Interior AI: Enhancing Efficiency and User Experience

The main objective of this project is to enhance Interior AI’s user experience, performance, and commercial readiness by improving AI generation speed, enabling budget-based design customization, and integrating product purchasing capabilities. Specifically, the goals are to: Reduce AI Render Time: Optimize the image generation process to decrease rendering from 20+ minutes to under 2 minutes using model optimization, caching, and batching strategies. Implement Budget-Aware Design: Develop a feature that allows users to set a budget (e.g., “IKEA” vs “RH” range) and receive furniture and décor recommendations that fit their selected price range. Enable Product Purchasing Placement: Integrate in-app product purchasing links through partnerships or affiliate APIs, allowing users to directly buy items from their generated designs. These enhancements will significantly improve user satisfaction, reduce churn, and unlock new monetization channels through supplier partnerships and affiliate sales, advancing Interior AI toward a scalable and commercially viable platform.

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.