MindTree is a business focused around the development of digitisation of the mental health space by developing applications for mental health tracking and data analysis with the utility of being suited for both personal and professional use.
With in depth data visualization and trend detection, users can analyze long term progress which can also linked to attributes such as habits, exercise, sleep, diet, and social life. MindTree also implements gamification as a motivation tool to encourage maintaining healthier lifestyles.
Applying these simple to use and intuitive visualization methods a user has the ability to gain a broader overview of their life as well as motivate themselves to achieve personal growth as well as being more forthcoming about their own headspace.
Our project faces three different customer bases.
Our first customer base is people dealing with mental health issues. MindTree is a convenient way of recording mood and wellbeing indicators (such as sleep). A very simple interface allows the app to take minimal mental effort, making it easier to make daily entries. Data visualisation and processing makes long term trends understandable. This allows them to answer long term questions about their mental health, such "am I actually getting better?" and "what habits lead to periods of low mood?".
Our second customers are carers and practitioners of people dealing with mental health issues. Patients have the option of sharing their long term data with their mental health practitioner. This helps them overcome the issue of having a long term view of patient wellbeing, not just the state of their patient at the time of the interview. Practitioners can add their own private comments to the patient timeline, allowing them to observe the effect of therapy sessions or medication.
Our third customer segment are researchers in areas of mental health. Using the anonymised practitioner and patient comments and their associated wellbeing scores, they can analyse the long term effectiveness of treatments and medication. This is a gain of information not normally captured during regular therapy sessions.
Competitors include: existing mood tracking and journalling apps, pen and paper solutions (such as journals) and doing nothing.
We are accessible; we don't require an invitation from a therapist. We provide intuitive data visualisation and knowledge extraction. We use data mining techniques to extract correlations of moods and habits. We focus on a cognitively efficient and simple to use interface.
Compared to pen and paper methods, we are faster, have a cleaner interface, and captured data can be represented far more easily. Interpreting pages and pages of data is just not efficient.
MindTree will be a mental health platform used all over the world to provide affordable and accessible mental health assistance using advanced technology such as machine learning to create a custom tailored experience for users that will cater to an individuals habits and lifestyle.
Mental illness affects up to 45% of the population and discussing mental health is still surrounded with social stigma. At the moment there is a lack of any meaningful digital alternatives, MindTree aims to encourage people to act on improving their mental health by providing a smart digital platform that provides statistical visualization of progress as well as machine learning back-ends to learn an individuals habits and lifestyle to facilitate their self improvement journey. Our team is comprised of students specializing in various computer science and psychology fields. We are looking for a mentor who has experience in psychology or mental health. Any mentors who are also experience in AI or machine learning is also welcomed.