Aerospace Supplier Finder Front-End Development

INÉRO, INC is looking for learners to develop the front-end interface for our aerospace supplier finder prototype. We will use Bubble, a no-code platform. The project involves transforming our mock-up into a functional user interface prototype that will illustrate our solution. The goal will be to bring life to the mockup and connect it with the backend, so that the prototype performs the solutions it's supposed to deliver (mainly, find suppliers, evaluate and rank them, and provide a dashboard listing search averages and results). This project offers learners the opportunity to apply their classroom knowledge in front-end design and gain hands-on experience in translating design concepts into practical applications. A tutorial describing the backend and details from the founder of INÉRO, INC will be available for students.

Supplier Search Tool Design Challenge

This project aims to design user-friendly interfaces for a supplier search tool, supplier profiles, and result pages to improve the user experience and efficiency in finding aerospace suppliers in North America. The approved design will be used as guidelines for our software prototype and directly contribute to improving the supplier search process in the aerospace industry, potentially leading to more efficient procurement practices.

AI Solution Mockup Design

INÉRO, INC is seeking to develop a mockup for an innovative AI solution aimed at improving aerospace supplier identification. The project involves creating a stylish, clear and easy-to-use (intuitive) design for our solution, using our branded colors. The student will focus on designing 3 desktop views presenting: a home screen search results post search action The designs will provide zoomed out views of selected menu options.

Database spreadsheet design and automation

INÉRO, INC is seeking to update its database for an innovative solution that improves how aerospace companies find suppliers. The project involves : Reviewing the existing spreadsheet and updating headers that match the information that needs to appear on the companies' profiles (e.g., employee count, factory locations) Automating updates. To automate the database, we will use an AI no-code solution that gathers information and updates the spreadsheet on its own. No-code solutions do not require deep coding knowledge. Example of such tools are freckle.io and clay. The students will work on a small sample of 50 records to test out automation. The founder will be able to support students with questions.