Generative AI - Coursework Repository

This repository contains my coursework submissions for the "Generative Artificial Intelligence" class. It includes 5 homework assignments and 1 final project, covering core topics in generative AI such as clustering, association rules, CNNs, GANs, and LLMs.

Contents

• HW1 - Clustering, Classification, and Association Rules
• HW2 - CNN for Image Classification
• HW3 - Text Data Augmentation with GAN
• HW4 - LLM Fine-Tuning for Churn Prediction
• HW5 - LLM + RAG (Web, PDF, and Dataset QA)
• Final Project - Object Detection with YOLO

Final Project - Object Detection

Based on our own retraining process and dataset, inspired by:
achen353/Taiwanese-Traffic-Object-Detection

The structure and major steps are largely based on the reference repository.
We learned a lot from their setup and adapted it to train our own models using custom data.

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YOLO Model Comparison

This image shows bounding boxes and labels detected from a real-world scene using two models:

YOLO v4 (Left) vs YOLO Tiny v4 (Right)

📌 Notes

• This repository is a work in progress and may continue to be updated.
• Everyone is welcome to explore, use, or modify the code for learning and educational purposes.
• Some parts of the code are adapted from teaching assistants and open-source resources.