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.

The deliverables for this project include a fully functional AI recommendation system integrated into the CAYOP platform. The system should be able to analyze student profiles and available opportunities to generate personalized matches. Additionally, it must include a feature to send weekly curated opportunity lists to students. The final deliverable should be a comprehensive report detailing the system's design, implementation, and testing results.