Deploy FimiMALL Shopify App (Java, Spring Boot)

Submission of the FimiMALL Shopify App to their App Store. The app is 90% Complete. We need a student to review the app and the Shopify documentation and update the app to make it compliant with the Shopify Public App Deployment Requirements and Guidelines.

Minimum viable product for AI application

The purpose of the project is to create a minimum viable product for AI application in grant writing. More specifically, to integrate an AI assistant asking humans a series of specific questions and recording the answers, recognition of the voice by AI, and filling out the form based on the analyzed responses by AI. The responses for the form must be enhanced by AI. For the MVP, we can limit the prototype to 5 questions.

Product Search Ranking

Update and create a better product search ranking algorith. This will allow the user to have a relevant product results. For Example: ranking clothes and shoes above accessories and books when there is no search query. Example 2: Search Query "cashmere sweater", the system return Cashmere Sweaters not products that has the word cashmere and another product that has sweater in its description.

Website Testing and Development

Our early-stage company is an e-commerce pharmacy for recommended non prescription (OTC products). We hope to gain a renewed understanding of the features and design that our target market would prefer on our website. We would like to collaborate with students to further refine the website, remove any issues and finalize the website for launch. This will involve several different steps for the students, including: Front-end: Conducting user testing to ensure the user flow and features of the website are fully functional. Identify modifiable features that could increase user activities on our website. Back-end: Discussing processes that could improve uploading products to the site Development: Implementing the recommended changes to our website. Students applying should have experience with Wordpress websites.

Modular Code Refinement for Data Analysis Reports

Pathomics Inc. specializes in data analytics services, generating code to deliver insightful results to clients. The current challenge is twofold: first, that the code, while functional, lacks modularity, making it difficult to reuse and adapt for different client needs. Second, the report generation is static, and could benefit from the addition of an interactive dashboard for client use. The goal of this project is to refine existing code into well-structured, reusable modules that can be easily assembled to produce customized analysis reports, and into cloud-based online dashboards for data interrogation. This will enhance the efficiency and flexibility of Pathomics Inc.'s service delivery. The project will provide learners with the opportunity to apply their programming and software engineering skills to real-world problems, focusing on code refactoring, modular design, cloud & dashboard configuration, and documentation. The tasks will involve analyzing existing code and company processes, identifying reusable components, and restructuring the codebase to improve maintainability and scalability.