A Deep Learning Image Classification project using Convolutional Neural Networks (CNN) to identify 10 food categories. Features include performance optimization with TensorFlow AUTOTUNE and multi-class performance analysis.

A comprehensive portfolio of Visual Generative AI projects featuring Unconditional & Conditional WGAN-GP for image synthesis and an adaptive object counting system using YOLOv8 and Grounding DINO. Developed for the Specialist Diploma in Applied Generative AI (SDGAI).

A collection of Deep Learning projects for NLP, featuring a sentiment classifier for Pokémon GO reviews scraped from Google Play and a character-level LSTM text generator trained on the Harry Potter corpus. Developed for the Specialist Diploma in Applied Generative AI (SDGAI).