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🏥 Healthcare Diagnostic Chatbot

AI-Powered Symptom Checker Using Machine Learning

The Healthcare Diagnostic Chatbot is an ML-driven interactive system that predicts potential diseases based on user-reported symptoms. It leverages Decision Tree classification, SVM validation, and a structured medical knowledge base to provide:

  • 🩺 Disease prediction
  • 📊 Symptom severity assessment
  • 📚 Condition descriptions
  • 🛡️ Precaution recommendations
  • 🎤 Optional text-to-speech interaction

This project is intended for educational and research purposes, demonstrating applied machine learning and rule-based reasoning in healthcare.

🚀 Features

🔍 Machine Learning Pipeline

  • Decision Tree Classifier for primary disease prediction
  • SVM model for secondary accuracy validation
  • Automated feature encoding and training from CSV datasets

💬 Symptom Interaction Engine

  • Pattern-matching for symptom input
  • Regex-based suggestion of similar symptoms
  • Interactive question flow based on decision-tree traversal

🧠 Severity & Condition Assessment

  • Severity scoring using predefined symptom weights
  • Consultation recommendation based on score thresholds

📘 CSV-Driven Medical Knowledge Base

  • symptom_Description.csv — disease definitions
  • symptom_precaution.csv — recommended precautions
  • symptom_severity.csv — symptom severity weights
  • Training.csv & Testing.csv — ML dataset

🔊 Optional Speech Output

  • Text-to-speech responses via pyttsx3

📦 Installation

1. Clone the Repository

git clone https://github.com/<your-username>/healthcare-chatbot.git
cd healthcare-chatbot