🏥 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.

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🚀 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

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📦 Installation

1. Clone the Repository

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