This project builds a multi-class disease classifier using symptom data. The trained model can predict the most likely disease given a set of symptoms and return a recommended treatment, dynamically ...

This is a from-scratch reproduction and extension of the AgentDropout paper's experiments, run against real LLM APIs (OpenRouter) across three models, six benchmarks, and six methods. It's a full ...