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。我们的目标是建立一个跨平台的应用程序，作为一个人的心理健康的传感器。该应用程序使用预训练和自我学习的人工智能模型，感知个人用户的数字行为模式，这些行为模式表明了心理健康状况，包括数字成瘾、焦虑（包括与工作有关的焦虑）、压力、抑郁、拖延症和多动症。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，从而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.