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Intelligent recommendation system

Project Description

YouTube influencers and trending videos have a substantial impact on consumer behavior. Understanding and analyzing YouTube traffic can provide valuable insights for boosting sales.

This project aims to analyze trending YouTube videos to extract product recommendations. These recommendations will be integrated into the Coupang application to enhance user engagement and drive sales.

Hackathon Track

🌟 Coupang’s Challenge Statement 🌟

Tech Stack

Python
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Streamlit

Streamlit logo

Authors


Timur Khairulov

🏠

Ye-Chan Park

🏠

Jeongwon Lee

🏠

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