AI-Powered Opportunity Matcher for CAYOP

The project aims to develop an AI-driven recommendation system for CAYOP, a platform dedicated to connecting students with professional development opportunities. The goal is to create a system that analyzes both the profiles of students and the available opportunities, such as scholarships, internships, and youth council positions, to provide personalized matches. Built on Bubble.io, the platform requires an AI solution that can efficiently process and analyze data to generate relevant recommendations. Additionally, the system should be capable of sending curated lists of opportunities to students on a weekly basis, enhancing their chances of finding suitable opportunities. This project allows learners to apply their knowledge of AI, data analysis, and web development to create a practical solution that benefits both students and the platform.

Scholarship Database

The main goal for the project is to compile a comprehensive list of scholarship programs for the CAYOP Inc. platform. This will involve each student creating a list of 250 scholarship programs, ensuring that all relevant details and requirements are included. CAYOP will provide all the necessary support to help students complete their projects.

CAYOP Mobile App Development

CAYOP Inc. aims to expand its reach by developing a mobile app that connects youth to professional development opportunities. Currently hosted on Bubble.io, CAYOP provides access to fellowships, hackathons, grants, scholarships, and youth council positions. The objective of this project is to create a user-friendly mobile app version of the existing platform, enhancing accessibility and engagement for users. The app should mirror the functionality of the web platform, allowing users to easily browse, apply for, and track various opportunities. The project will involve designing an intuitive interface, ensuring seamless integration with Bubble.io, and testing for usability and performance. This initiative will provide learners with practical experience in mobile app development using no-code tools, applying their classroom knowledge to a real-world scenario.

AI-Driven Opportunity Matcher for CAYOP

CAYOP Inc. seeks to enhance its platform by developing an AI-driven recommendation system designed to connect students with professional development opportunities. The project focuses on creating a system that efficiently analyzes student profiles and available opportunities, such as scholarships, internships, and youth council positions, to provide personalized matches. Built on Bubble.io, the platform requires an AI solution capable of processing and analyzing data to generate relevant recommendations. The system should also send curated lists of opportunities to students weekly, increasing their chances of finding suitable matches. This project offers learners the chance to apply their knowledge of AI, data analysis, and web development to create a practical solution that benefits both students and the platform.