Smart Oral Health Monitor

The Smart Oral Health Monitor is an intelligent dental hygiene evaluation system that leverages machine learning to assess and predict oral health conditions based on user lifestyle and hygiene patterns. The system provides a seamless web-based interface built using Flask, allowing users to register, log in, and upload oral health-related data such as brushing frequency, flossing habits, gum bleeding, and sensitivity levels. Upon submission, the data is analyzed by pre-trained classification models—K-Nearest Neighbors (KNN), Multi-Layer Perceptron (MLP), XGBoost, and Random Forest—to identify potential oral issues and predict the user’s oral health status. Among these, the Random Forest model demonstrates superior accuracy and robustness, achieving up to 99.32% accuracy in identifying severity levels ranging from Excellent to Severe Issue. The system not only predicts oral health categories but also provides personalized recommendations for maintaining or improving hygiene. By integrating data-driven insights with AI-based predictive analytics, Smart Oral Health Monitor offers a proactive approach to oral care, helping users detect dental problems early and seek timely medical intervention. This innovative platform bridges the gap between preventive healthcare and intelligent diagnosis, enhancing oral wellness awareness and promoting regular self-assessment.

Keywords: Smart Oral Health, Machine Learning, Flask Web Application, Random Forest Classifier, Predictive Analytics, Oral Hygiene Monitoring, Dental Health Prediction, AI in Healthcare.