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Join practical work across real machine learning topics and grow through doing.
QUT AI & ML SOCIETY
Explore the work AIML members have built across machine learning, data, vision, language, and intelligent systems.
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Projects turn learning into something you can test, share, and continue building with people who care about the same questions.
Join practical work across real machine learning topics and grow through doing.
Try methods, datasets, and approaches that make AI concepts feel tangible.
Browse the archive for projects, code, and ideas worth taking further.
SEM 1 2026
Search the archive by project type or title. Every card links to the project repository.
Explore the ideas our members have turned into working experiments.
LLM Demonstrates how an LLM can extract insights and structured data from bank statements
Transformers Classify different types of human actions from video or text using Transformer models.
Logistic Regression Predict asteroid characteristics and classify them using logistic regression.
Logistic Regression Predict loan approval decisions using logistic regression.
LLM A hands on introduction for learning and experimenting with LLMs
Linear Regression Predict video game sales based on various features using linear regression techniques.
CNN Binary image classification to distinguish between cats and dogs using CNNs.
CNN Detect cracks in concrete structures using CNN based image classification.
Random Forest Predict customer churn using ensemble learning and Random Forest models.
Clustering Group customers based on purchasing behavior and demographics using clustering techniques.
Random Forest Detect and classify cybersecurity threats using Random Forest algorithms.
Reinforcement Learning This project applies Deep Q Learning to enable Q Learning in large or continuous state spaces.
Linear Regression Analyze energy usage patterns and predict future consumption with linear regression.
Logistic Regression Classify news articles as real or fake using logistic regression.
Linear Regression Predict race outcomes and performance metrics of Formula 1 drivers using linear regression.
K-Nearest Neighbours Classify types of glass based on chemical composition using KNN.
Logistic Regression Predict the presence of heart disease based on patient medical data using logistic regression.
K-Nearest Neighbours Predict whether an individual's income exceeds $50K using demographic data with KNN.
Random Forest Predict marine engine failures and maintenance needs using Random Forest models.
Clustering Cluster penguin species based on physical characteristics using unsupervised learning.
K-Nearest Neighbours Classify different types of physical activity from sensor data using KNN.
Transformers A Vision Transformer model for classifying Pokémon images with train/validation splits and device aware training.
Linear Regression Predict Pokémon stats based on other characteristics using linear regression.
LLM Generates quizzes automatically from textbooks using LLM
Linear Regression Predict future retail sales based on historical data using linear regression.
Reinforcement Learning Train an agent to play the classic Nokia Snake game using reinforcement learning.
Clustering Identify communities and patterns in social network data using clustering techniques.
Clustering Practice various clustering techniques on diverse datasets.
CNN Classify different types of vehicles from images using Convolutional Neural Networks.
Transformers Classify YouTube videos based on content and metadata using Transformer models.