Abstract
This project presents a chatbot designed for medical diagnosis, leveraging machine learning to identify illnesses based on user-reported symptoms. The chatbot uses a trained neural network model to predict diseases and provide corresponding precautions. Implemented with Python and utilizing libraries such as PyTorch, scikit-learn, and spaCy, the system aims to enhance accessibility to preliminary medical advice. While not a replacement for professional diagnosis, this tool offers a convenient and immediate resource for health- related inquiries, demonstrating promising accuracy and user engagement in preliminary testing.
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