Mood Board Shopping Feature

Fimimall Inc. aims to revolutionize the online shopping experience by integrating a mood board feature into their platform. The goal is to allow users to create personalized mood boards that reflect their style and preferences, which can then be used to recommend products. This project will involve designing and developing a prototype of the mood board feature, ensuring it is user-friendly and seamlessly integrates with the existing shopping platform. The team will need to apply their knowledge of user interface design, user experience principles, and web development to create a functional and visually appealing prototype. The project will also require conducting user testing to gather feedback and make necessary improvements. Key objectives include: - Designing a user-friendly mood board interface. - Developing a functional Feature/MVF. - Integrating the mood board with Fimimall's existing platform. - Conducting user testing and iterating based on feedback.

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.

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.

Inventory Checker

The goal of this project (Inventory Checker) is to allow shoppers to buy products and product variants that are in stock. Shoppers should not be allowed to buy any product that is not in stock. Shoppers should know before hand if product or product variant quantity falls below 10 items.