ML Based Mental Health Diagnosis & Consulting App

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Idea in brief

MindCrafter is a mental health diagnosis application that uses data from android smartphones, smartwatches that automatically measure patterns of behavior. Real-time smart devices data measurement provides a complete picture of behavioral functioning. This helps MindCrafter to provide Dynamic AI tailored diagnosis and consulting to each person.

Plan to bring it to Life

Working Explanation

I am primarily focusing on the five most important mental issues. 2 out of 5 adults have these issues. I'll be using Smart devices with Android OS to collect behavioral data like sleep times & heart rate of the user.

Anxiety (Excessive Fear)

Physical Symtoms	Data Collection Methods
Pelpetations (Sudden Heart Rate Fluctuations)	Heart Rate Monitoring using SmartWatch or Facial Recognition
Sudden Fluctuations in Body Tempreture	Body Temperature Monitoring using SmartWatch or device's built-in temperature sensor
Involuntary Tremors in body	Symptom Analysis Questioning using Application Notifications
Voluntary Tremors	Voluntary Leg or Hand Shaking using Motion sensors
Issues with Stomach (Digestion)	Symptom Analysis Questioning using Application Notifications

Android Based treatments: Meditation, Entertainment, Therapy Session, etc.

Depression (Feeling Upset)

Physical Symtoms	Data Collection Methods
Loose of Interest in Social & Entertainment Activities	Relaxation Time Time Spend on Social & Entertainment Media
Excessive Guilt Feelings	Therapy Session Analysis using Therapy Questioning in Application
Sudden Low Physical work & Excersize	Meditation, Yoga & Physical Activity Tracker using Application & SmartWatch
Sleep Abnormalities (Early Wakeups & Disturbed Sleep Patterns)	Sleep Tracking using SmartWatch & Device usage
Poor Concentration	Symptom Analysis Questioning using Application Notifications

Android Based treatments: Therapy Session, ANT clearing Therapy, etc.

Bipolar Disorder (Severe Mental Disorder)

This type of disorder can be analyzed with mania & Depression together. Because of this mental issue. The user always switch between Mania Phase & Depression Phase for 7 t0 15 days for each Phase.

Mania (Depression is discussed above)

Physical Symtoms	Data Collection Methods
Sudden Excessive Interest in Social & Entertainment Activities	Activity Time Time Spend on Social & Entertainment Media
Excessive Happiness Feelings	Therapy Session Analysis using Therapy Questioning in Application
Sudden increase in Energy Levels, Physical work & Excersize	Meditation, Yoga & Physical Activity Tracker using Application & SmartWatch
Very fewer Sleep Patterns with high energy levels	Sleep Tracking using SmartWatch & Device usage
Grandeur Feeling	Symptom Analysis Questioning using Application Notifications

Android Based treatments: Long Therapy Sessions, Specialised Consultancy, etc.

187 More Issues with Symptoms and Data Collection Method can be analyzed for ML Model training.

Product & Features

Each user generates more than 100+ behavioral data points each day. Which can help MindCrafter to analyze the situation of the user. Today users are digitizing more personal data than ever before.

Product	Features
Android Application	Consulting ChatBot
	Medidation Guide (Full)
	Daily Yoga Scheduling
	Emotional State Monitoring
Google Assistant (Service)	Consulting ChatBot
	Guided Meditation Session(Quick)
	Daily Yoga Scheduling

Project Technology Profile

Frameworks	Purpose
Flutter	Android Application Development
Firebase	Performance & Monitoring
Tensorflow Lite	On Device tailored ML Model
Dialogflow	Consulting Bot
Google API's	Youtube Videos & Music

Google’s help

• I've got a very limited understanding of feature extraction from behavioral data for ML model training that is different for each user. Google could help me with a better understanding of the Android OS & Data Collection methods that I can use.
• Google could help with Google API's integration like Youtube API & Music API.
• This application could impact thousands of people but with Google, it can impact millions of people who don't even know that they need help.

Plan on using On-Device ML technology

On-device APIs can process your data quickly and work even when there’s no network connection. Cloud-based APIs, on the other hand, leverage the power of Google Cloud Platform's machine learning technology to give you an even higher level of accuracy.

On Device ML Kit API's	Use Cases (examples)
Text recognition	Language Processing & Conversation Engine
Face detection	Facial Emotion & Heart rate Tracking
Object detection & tracking	AR Based Meditation Guide
Smart Reply	ChatBot Reply Helper
AutoML model inference	On-device ML inference
Custom model inference	On-device ML inference

Project Timeline

Start Date	End date	Milestones
2 April	29 April	Study about digital diagnosis
1 May	18 May	Planning about ML integration
19 May	2 June	Analysis Modelling
3 June	23 June	Development (Templates & Operations)
24 June	3 July	Tensorflow lite Integration
4 July	20 July	Machine Learning Training & Debugging
23 July	3 August	Functional Testing
4 August	20 August	User Interface Designing
21 August	31 August	User Experience Testing
Final Deployment 1 September	Deployment & Testing

Why Mental Problems ?

National Alliance on Mental Illness Report - Sept. 2019

1 in 5 U.S. adults experience mental illness each year
1 in 25 U.S. adults experience serious mental illness each year
1 in 6 U.S. youth aged 6-17 experience a mental health disorder each year
Suicide is the 2nd leading cause of death among people aged 10-34 

There is only one psychiatrist per 100 000 people

Worried 😟 ?

Smart Devices can help us here.

• More Than 100 Behavioural Datapoints per user/day
• Diagnosis Test Results
• Consulting
• Tailored Machine Learning Model

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Statistics References

https://www.nami.org/learn-more/mental-health-by-the-numbers
https://www.who.int/whr/2001/media_centre/press_release/en/