International Research Journal of Education and Technology

Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the leading cause of death in the world. In 2022, annual oral cancer cases grew to 377713 people and 177757 deaths in 2020 worldwide. The cancerous tumor appears in the neck, oral glands, face, and mouth.The most common types of oral cancer are lymphoma, Minor salivary gland, mucosal melanoma, sarcomas cancer and squamous cell carcinoma. Early detection of oral cancer plays a vital role in survival of the patient. Imaging tests are used most for identifying the cancer. Imaging tests used in diagnosing oral cancer may include a computerised tomography (CT) scan, bone scan, magnetic resonance imaging (MRI), positron emission tomography (PET) scan, ultrasound and X-ray. AI medical diagnosis is becoming effective day by day. By this approach patients can get their oral cancer scan reports faster. In this project work we are introducing AI assisted web applications which can predict oral cancer. With help of CNN (Convolutional neural networks) deep learning model we are going to detect some types of oral cancer. Apart from deep learning a user friendly interface using react and API using Flask (a python backend framework) is used. The web app is built to add or update existing models for future scenarios with ease. This project is open sourced to help those who are in need.

Key Words:  AI, Oral Cancer, CNN etc.