Project information

  • Category: Deep Learning
  • Role: Solo Developer
  • Project date: July - August, 2021
  • Project URL: Github Repository

User-Centric Movie Recommender System Powered by Crowdsourced Data and Deployed on AWS EC2

Engineered an efficient recommender system that leverages crowdsourced data and advanced techniques such as SVD and Matrix Factorization. This user-friendly system, deployed on AWS EC2, offers personalized and relevant movie suggestions based on user preferences. To better understand its effectiveness, check out the screen recording of the website in action.