Abstract:
"The oral disorders that affect adults the most are gingivitis and periodontal disease.
Gingivitis is the medical term for inflammation of the gingiva (gums). The alveolar
bone, periodontal ligament, cementum, and gum tissues that support teeth are all
impacted by periodontitis. Periodontal diseases include gingivitis and periodontitis,
which are distinguished by their severity and the germs that cause them. Users cannot
independently monitor gingivitis. For even the least issue, they must see a doctor.
However, most people likewise refrain from doing it. They only go to the doctor if the
pain is unbearable. The gingivitis of the patient thereafter got worse. Treatment might
not even be able to save the tooth. As a result, the tooth is more likely to go loose.
Since the patient is unable to monitor their mouths on their own, they are unable to
determine whether their gingivitis is becoming better or worse. If so, it's crucial to use
any accessible treatments.
This research aims to design, develop, and evaluate a system that can aid in the
prevention of periodontitis and gingivitis. To further elucidate on the goal of this
research project, a system to predict periodontitis and gingivitis level using
photographs will be created. Level of gingivitis can be predicted by this software.
This app offered recommendations for remedies if individuals have gingivitis.
Additionally, users of this software can perform their routine checkups. Then,
gingivitis and periodontitis can be avoided.
The research's output was a trained machine learning classification model that was
used to determine the level of gingivitis, with a f1 score of 0.88 for teeth detection."
