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Future Project
eMoodie AI: Enhancing the efficacy of digital mental health therapeutics using NLP

Mental health is an area which arguably lacks significant innovation, particularly when held in comparison to the marked innovation and advances in medical care for physical health problems. Just as AI has been most effectively applied to physical health in the domain of diagnostics, so too is it our vision that eMoodie will become a leader in AI-driven diagnostics and tailored mental healthcare in the same vein as precision medicine applied to psychiatry. According to the World Health Organisation, mental health problems such as depression and anxiety are a leading cause of disability worldwide. The growing price tag of poor mental health results in a staggering loss to the UK economy a staggering - approximately 5% of the UK's GDP (LSE, 2022).The COVID-19 pandemic compounded mental health problems across our entire society. Already stretched publicly funded health care resources will not meet this increasing demand. Digital mental health enables accessible, scalable solutions to address this need, particularly for those with minor to moderate symptoms of common mental health problems. For this project, our goal is to develop the ability to detect a set of psychological markers using Natural Language Processing (NLP) in combination with Large Language Models (LLMs) which can be used to tailor interventions and psychoeducational content presented to users. This will improve the effectiveness of our new flagship product - the "eMoodie Minds" mental health app - and offer a more enticing value proposition to our customer base, thus giving us more leverage for penetrating the market.

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