| Summary: | Tongue examination holds significance as an assessment technique in Traditional Chinese
Medicine (TCM). Due to the numerous associations and connections between the tongue and
the body, it can offer visual cues regarding a person's health conditions and overall well-being.
However, its subjectivity raises concerns about its reliability, as diagnostic outcomes may vary
based on the TCM practitioner's individual knowledge and expertise.
To address this, several analysis systems were developed to standardise and eliminate
subjectivity in tongue diagnosis. Unfortunately, most of them are immobile and not applied
during the optimal state of the tongue which is attained when one has not gone through brushing,
rinsing, and exposure to food or drinks.
Hence, the objective of the project is to develop a mobile application that allows users to capture
images of their tongue and perform tongue diagnosis automatically. The diagnosis system will
comprise image segmentation, application of morphology layers, and feature extraction.
Additionally, the application will allow users to create an account that can retain and remove
records of their past diagnosis.
The frontend will be developed using Android Studio, while the backend will be developed with
Flask. MySQL will be utilised as the database to store past records, and YOLO will be used to
develop the models required for image processing.
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