💸 CS498HS4: Computational Advertising in Fall 2018, UIUC

A repository of advertisement prototypes and patterns for testing and development purposes.

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.

Automated video advertisement content analysis system using Sentence Transformers and cosine similarity for yes/no question evaluation. Features text embedding with all-mpnet-base-v2, batch processing, vector indexing, and performance evaluation against human-coded ground truth data.

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

뉴로 마케팅을 활용한 광고 분석 프로그램

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

EBAA - Real-time billboard viewer analytics using computer vision | YOLOv4 + MTCNN + Head Pose Estimation | 98.38% accuracy | B.E. Final Year Project