An AI-powered, cross-platform application detecting digital markers of user behaviour that signifies the onset or deterioration of mental health conditions and provides feedback to encourage early intervention.

心理健康问题每年给英国经济造成至少1179亿英镑的损失，50%的英国成年人现在每天看屏幕的时间超过11个小时。我们的目标是构建一个跨平台的应用程序，旨在作为一个人的心理健康传感器工作。使用预先训练和自学的人工智能模型，该应用程序可以感知个人用户的数字行为模式，这些模式预示着心理健康状况，包括数字成瘾、焦虑(包括与工作相关的焦虑)、压力、抑郁、拖延和多动症。然后，用户或经批准的医疗专业人员会收到触发信号的警报，使他们能够更好地控制自己的心理健康。

Mental health problems cost the UK economy at least £117.9 billion annually and 50% of UK adults now look at screens for 11 hours or more a day. We are aiming to build a cross platform application designed to work as a sensor of a person's mental health. Using pre-trained and self-learning AI models, the application senses digital behaviour patterns in individual users that signal mental health conditions, including digital addiction, anxiety (including work-related anxiety), stress, depression, procrastination, and ADHD. The user, or an approved medical professional is then alerted to signals being triggered, allowing them to have more control over their mental health.