Auralis—Detect the decline, while there’s still time. This project was developed at NatHACKS 2024 at The University of Alberta.
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Auralis is an innovative solution designed to detect early signs of dementia by analysing cognitive decline in real-time speech. Dementia manifests through shared symptoms such as slower speech, long pauses, verbal fillers, and declined vocabulary. Early detection of these symptoms is key to timely medical intervention enabling people with dementia and their families to plan, find support, and prioritise what truly matters.
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We used DementiaNet, an open-source longitudinal dataset of audio recordings from famous actors with and without dementia. These recordings include speech patterns captured over time, allowing our machine-learning model to differentiate between healthy ageing and early cognitive decline.
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Our web application enables users to record 30-second to 1-minute audio clips for analysis, integrating into regular health routines. The model processes these recordings to identify dementia-related speech patterns for early detection.