Emergency Medicine Prediction System Using Machine Learning in JavaScript

This report details the design and implementation of an emergency medicine prediction system using machine learning (ML) techniques with TensorFlow.js. The system allows users to input symptoms such as pain level, body temperature, and dizziness level. Based on this input, the system predicts a likely medical condition and recommends appropriate medication and dosage. A basic neural network model is trained with a dataset of emergency medical conditions and corresponding symptoms. The system demonstrates a potential real-time solution for providing quick medical advice in emergency situations, focusing on the use of JavaScript and TensorFlow.js to enable easy deployment in web browsers.