Movie Recommendation System

Overview

This system uses collaborative filtering to suggest movies to users based on their preferences.

Purpose

The primary goal of this project is to support radiologists by easing their workflow burden. Chest X-rays are one of the most commonly ordered imaging studies, so I chose to focus on them for their high potential impact.

The model serves as a triage tool—helping prioritize abnormal studies so they can be reviewed earlier, while clearly normal cases can be addressed afterward.

Radiologists face increasing workloads across the industry. By introducing tools like this, we can reduce burnout and improve overall efficiency in diagnostic workflows.

Technologies

• Python
• Pandas
• Scikit-learn
• FastAPI

Features

• Personalized movie suggestions
• Real-time API
• Clean and testable code structure