Error controlled decisions for safe use of medical foundation models
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Updated
Jan 9, 2026 - Python
Error controlled decisions for safe use of medical foundation models
This repository contains the frontend implementation of an Indonesian food classification web application. The application allows users to upload images of Indonesian food, sends them to a backend API for classification, and displays AI-generated recipes based on the prediction results.
Scalable real-time messaging infrastructure leveraging Socket.io and Node.js for sub-millisecond latency, reliable event delivery, and bi-directional communication.
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