AI based Course Recommendation System – GATE Bootcamps

Build a recommender system via collaborative filtering and content-based filtering.

About the project:

This project focuses on building a recommender system for customer-course matchmaking at GATE Bootcamps, aimed at helping participants find the most suitable bootcamp courses based on their profiles, preferences, and learning goals. Using collaborative filtering and content-based filtering algorithms, the recommender system will analyze customer data, such as previous bootcamp participation, skills, career goals, and preferences, to suggest personalized courses for current and potential customers. The system will enhance the user experience, improve customer engagement, and drive course enrollment by offering tailored recommendations.

About the company:

GATE Bootcamps provide hands-on, experiential learning in high-demand fields like AI, Product Management, and Digital Marketing. Designed to help students, job seekers, and career changers build job-ready skills, these bootcamps offer real-world projects and expert mentorship, equipping learners to succeed in their careers.

Tools you will learn and work with:
– Python
– Microsoft Excel
– ChatGPT
– Recommender system