Abstract:
Recently, especially in the wake of the epidemic, the subject of mental health has been
increasingly prevalent. Human to human interaction is severely restricted throughout the
epidemic in order to ensure everyone's safety as well as their own. There is no questioning that
some people are skilled at disguising their emotional and mental problems as a calm and cheery
persona. Seven out of ten times, this disguised persona succeeds in deceiving everyone around
them, and occasionally, it even deceives themself. Although it is difficult to read minds, studies
have proven that a person's psychological state may be inferred from their body language,
posture, behavior, and voice tonality. A person's handwriting may also be used to read their
emotions. Graphology is the term for this. Graphologists, or professional handwriting
examiners, can analyze these patterns to figure out a person's personality. Although the
analysis's accuracy is dependent on how well-trained the graphologists are, it is time-
consuming, prone to human error, and expensive because a graphologist must be hired.
Graphology may be completed rapidly and without bias using an image processing tool and
machine learning. The Myers-Briggs Type Indicator-based automated method for predicting
personality traits from handwriting analysis is what the Graphology App project seeks to create.
The program can estimate the MBTI personality from a handwriting picture with a precision
and accuracy of 93% and 68% using the Naïve Bayes method. The application user interface
will be designed with the Double Diamond Design Thinking in mind, the user interface design
will include illustrations which represents what the user can do with the application as well as
what the application can do for the user, typography and color that is chosen accordingly which
represents the application value as well as custom made logo that encapsulates the entire feature
of the application within it.
