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.

The project deliverables include a fully functional AI recommendation system integrated into the CAYOP platform. The system must analyze student profiles and available opportunities to generate personalized matches. There will also be a need for a strong search and filter function that is not enabled by AI.

Additionally, it should feature a mechanism to send weekly curated opportunity lists to students. A comprehensive report detailing the system's design, implementation, and testing results is also required.