I grew up having eczema, hives, sensitive skin, and allergies to certain cosmetic ingredients. There are others who don’t have access to the resources I have or have a hard time dealing with the issue. According to NCCIH, one in three Americans are impacted by skin disease. My personal experiences has pushed me to further my research in AI in the medical field. I want to help those who need help make progress to that road in a less intimidating and easier way. I believe the first step would be a web app the user can use. They will get comfortable and one step closer to solving the problem and asking for help.

The importance of early diagnosis in the fight against skin cancer is necessary. Artificial intelligence (AI) has now developed to the point where it can be used to successfully diagnose cancer earlier than the current techniques.

I wanted to make a website with easy user interface, where it has all the information and educates the user about skin cancer and the use of technology in the medical field. My website (HTML, JavaScript, CSS) uses Tensorflow.js, a JavaScript library for training and deploying machine learning models in the web browser and Node.js. I collected 107 of the 10,000 images from the HAM10000 dataset. With those images, I created and trained a model in Microsoft Azure CustomVision.ai. I gathered most of my research for my research paper from Stanford Skin Cancer Program.

Website: https://senior-capstone-skin-x.c2003.repl.co/index.html

GitHub: https://github.com/cnbui/Skin-X/tree/main

Annotated Bibliography: https://docs.google.com/document/d/1Mc2D96NLRf8QvUycfBqBVu4yE-0QtAjtyN8U31Hl_lE/edit?usp=sharing