Research Projects
Explore our cutting-edge research projects organized into 4 key healthcare domains. Each category represents our commitment to transforming healthcare through AI innovation.
Featured Projects
Highlighting our most impactful and innovative research initiatives across all healthcare domains.

Autism AI
The Autism AI Project represents a significant step forward in autism research and diagnosis. Through innovation, collaboration, and rigorous evaluation, we aspire to create a transformative tool that enhances autism detection and supports families worldwide.

Better Speak
Better Speak is a machine learning-powered research platform dedicated to providing assistive technology for dysarthric speakers. We offer free, personalized automatic speech recognition (ASR) services that can improve continuously with your engagement. By contributing your voice, you play a significant role in advancing our data collection process for machine learning model training that could benefit the entire dysarthria community.

DemAI
DemAI aims to analyze speech patterns and detect early signs of Mild Cognitive Impairment (MCI), a precursor to dementia. By using AI-driven models trained on real-world dementia speech data, we aim to provide a fast, non-invasive, and accessible screening tool. This technology enables early intervention, improves healthcare efficiency, and advances AI research in cognitive

MindVoice
MindVoice aims to advance speech-based methodologies for early depression detection through multimodal analysis of audio and text. Leveraging deep learning, it seeks to extract meaningful patterns while prioritizing fairness and privacy. Future developments will focus on addressing data scarcity, mitigating gender bias, and safeguarding speaker identity. Designed for researchers and healthcare professionals, MindVoice aspires to enhance privacy protection, improve diagnostic accuracy, and support timely intervention.

Speakwise
Speakwise is a speech-practice assessment platform that helps people practise speech between therapy sessions and returns clinician-aligned feedback. Built with the DeepNet Discovery Network at the University of Auckland, in collaboration with speech-language pathologists.
Collaborate With Us
Interested in partnering with us on research projects? We welcome collaborations with healthcare institutions, technology companies, and fellow researchers.




