Ai-Powered Youtube Tutorial Recommendation System
Student: Abdullahi Musa Adetayo (Project, 2025)
Department of Computer Science
Sokoto State University, Sokoto, Sokoto State
Abstract
Abstract This project aims to develop an AI-powered system to recommend the best YouTube tutorials based on user input. It integrating Google’s Generative AI and YouTube Data API to collect metadata like titles, descriptions, view counts, and ratings. User preferences, such as topic, preferred video length, are captured through a responsive interface. The recommendation algorithm uses natural language processing (NLP) to analyze video content and comments, and machine learning techniques like collaborative filtering to predict suitable tutorials. By integrating Google’s Generative AI and YouTube’s Data API, the system formulates precise search queries and retrieves relevant tutorial videos, providing a user-friendly experience. However, the sheer volume of content can make it challenging for users to find high-quality tutorials that meet their specific learning needs. This project simplifies the search for educational content and enhances the learning experience by presenting well-structured, relevant tutorials, addressing the information overload problem in online learning environments.
Keywords
For the full publication, please contact the author directly at: musaabdullahiadetayo@gmail.com
Filters
Institutions
- Covenant Polytechnic, Aba, Abia State 1
- Covenant University, Canaan Land, Ota, Ogun State 4
- Crawford University of Apostolic Faith Mission Faith City, Igbesa, Ogun State 2
- Crescent University, Abeokuta, Ogun State 1
- Cross Rivers University of Technology, Calabar, Cross Rivers State 142
- Delta State Polytechnic, Ogwashi-Uku, Delta State 11
- Delta State Polytechnic, Otefe, Delta State 12
- Delta State University, Abraka, Delta State 138
- Ebonyi State University, Abakaliki, Ebonyi State 17
- Edo University, Iyamho, Edo State 10