💸 CS498HS4: Computational Advertising in Fall 2018, UIUC

This project analyzes advertisement responses using a Django backend and a Vite+React frontend. It includes scripts to load, clean, and transform data, which are executed within Docker containers. Data is stored in a MongoDB database, and the project can be run with or without Docker by adjusting the MongoDB connection strings.

CSCI576 Final Project. Detecting and Replacing Advertisements in Multimedia Content based on Brand Images/Logos.

뉴로 마케팅을 활용한 광고 분석 프로그램

Ad Detector, checks if image is ad-creative or not

My final project for DACSS 601 (Data Science Fundamentals) titled 'Analyzing Snapchat Political Ads in the US in 2020'