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
Artificial intelligence recommendation system youtube machine learning natural language processing APIs
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