Meno Assist
Problem
WHO’s latest report on mental health-World Mental Health Report- which was published in June 2022- shows that one billion people are living with a mental disorder in 2019 and 15% of working-age adults experienced a mental disorder, we can say half of this number is women at a rate of 7.5%. According to the WHO, there is a global shortage of health workers trained in mental health4. Most mental health interventions do not reach those in need, and approximately 70% of those in need do not have access to these services. Mental health disorders are a huge load for the economy: 12 billion workdays are estimated to be lost annually due to depression and anxiety costing the global economy nearly €1 trillion.
Solution
Meno Assist makes use of advanced machine learning techniques like neural network machine learning model, fine-tuning, classification and ASR to receive easy and seamless user interaction and creates meaningful predictions out of this data to assist women psychologically. Our techniques help us to generate huge volumes of relevant and sophisticated machine-generated-human-like text even from a small set of data. Meno Assist will use these predictions to have a better user content management that will end in user engagement. Meno Assist will receive user input directly from users’ voice input and health data from existing sources (like Apple Health and Google Fit, if available from smart watches) in order to ensure constant and smooth data flow that is necessary for prediction reports. The AI employed will be feeded with these data to identify and decide over the user's mental health state, then will recommend content based on the identification and decision process, and it will evaluate the health state of the user. This process will create a massive competitive advantage. No application in the market has all these features together.
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