GRAPHOLOGY BASED MENTAL DISORDER AND PERSONALITY PREDICTION

Your handwriting tells about you more than you may envision yourself. It tells about the personality of the individual as composing is from the mind. Ongoing years have seen a quick ascent in the frequency of mental health deterioration, like discouragement, depression, and burdensome indications. T

Project Title

GRAPHOLOGY BASED MENTAL DISORDER AND PERSONALITY PREDICTION

Project Area of Specialization

Artificial Intelligence

Project Summary

Your handwriting tells about you more than you may envision yourself. It tells about the personality of the individual as composing is from the mind. Ongoing years have seen a quick ascent in the frequency of mental health deterioration, like discouragement, depression, and burdensome indications. That is why, early recognition and prevention have become significant. The idea we proposed is, to develop an app for psychiatrists and parents so that they can predict the personality traits and mental health of their patients and children using handwriting. Individuals can also use this app to predict their personality traits and mental health on their own. The fundamental goal of this app is to uproot highlights from manually written text, utilizing image processing or picture handling approach which will be then standardized, scaled, and used to make conclusions about an individual's psychological wellness and personality traits. To get this going, different handwriting features are considered, that includes size of letters, pen pressure, letter, and word spacing etc. This app will also maintain the history of its users and every time the user checks his status new record will be added to the previous list. Such a framework will be extremely advantageous for examination and a heading to improve our character and mental health.

Project Objectives

This system will be able to predict the mental disorder and personality traits of the individual using his handwriting. This will be a user-friendly flutter-based app that will be easily accessible from any platform.  Through this app the user will be able to look for his personality traits and mental health using only his handwriting without self-learning. When the user will give the picture of a handwritten paragraph to the system as input the system will analyze the picture using the image processing approach. Then it will extract the seven features from the written paragraph and will analyze what feature of his handwriting talks about which character traits of his personality. Further for mental health detection, the app will first normalize and scale the written passage and then will predict the person's mental health using machine learning algorithms. If the person is detected with any mental disorder he can consult with the doctor through this app. The history of the user will also be recorded whenever he checks his condition. The new record will be added to the previous list that will help the doctor for the treatment of the patient in the future. We will train the system using the IAM dataset. This character traits prediction will satisfy the person's obsession with his personality.

Project Implementation Method

We will be using object-oriented method the spiral model for the development of mental disorder and personality prediction app, because using this methodology we will analyze the project at each phase and the risks will also be identified and resolved side by side through prototyping before the development of the project. We are using methodology because it is one of the most flexible techniques.

Benefits of the Project

• Users will be able to know about personality traits using handwriting.
• Users will be able to check mental health condition using handwriting.
• A person can consult with the doctor using this app if he is detected with any disorder.
• The app will be able to record the history of the person.
• The individual can check for his mental condition by sitting at home that will save his time and money for visiting the doctor.
• The psychiatrist does not need to take detailed sessions to check the mental state of the patients.
• It will satisfy the persons obsession with his character traits.

Technical Details of Final Deliverable

We have used flutter and dart for developing our Android app. Further for database integration in our app, we have used cloud firestore and firebase. We applied a machine learning CNN (Convolutional Neural Network) classifier for image classification and then we converted this model into a tflite model to integrate it into our flutter application. Then we will deploy our app so that parents, psychiatrists, and individuals can predict their mental health and personality traits by giving a picture of their handwriting.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Medical , Health

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com