Developers Build Privacy-First Skin Screening App That Runs Entirely in the Browser

A tutorial published on DEV Community demonstrates how to build a skin lesion screening application that processes medical images entirely within the user's browser, without uploading data to any external server. The app uses Transformers.js to run a pre-trained Vision Transformer model for image classification, accelerated by WebGPU for near-native GPU performance. WebLLM is integrated to generate plain-language explanations of classification results using an on-device large language model. The approach eliminates the traditional backend pipeline, instead downloading model weights once and running all inference locally within the browser sandbox. The project targets privacy-conscious developers and requires Chrome 113 or later with WebGPU support, along with basic familiarity with React.