Machine learning model for automated dental cavity detection using image analysis.

Dental cavity detection often relies on manual inspection, which can be time-consuming and subject to human error. Early detection is critical for preventing more serious dental issues, but traditional methods may miss subtle cavities.
Built a machine learning-powered system that analyzes dental X-ray images to automatically identify and flag potential cavities. The model uses convolutional neural networks trained on thousands of annotated dental images to achieve high accuracy detection rates. Added LLM capabilities using Gemini AI to generate accurate reports for dentists.