This project is an AI-driven healthcare chatbot designed to classify medications and provide detailed medical information based on user inputs. The chatbot is equipped with Natural Language Processing (NLP) and deep learning models, allowing it to handle various healthcare-related queries effectively.
Features
Counseling & Greeting: Engages users with conversational greetings and provides counseling based on user input.
Medication Classification: Uses a machine learning model to classify medications based on several input factors.
Medical Information: Responds to user queries with detailed medical information.
Interactive UI: A user-friendly, dark-mode web interface that supports easy navigation and interaction.
Input: Age, Gender, Blood Type, Medical Condition, Test Results
Output: Medication class
Model Type: scikit-learn classifier trained on structured data.
Medicine Information Model
Input: User medical query
Output: Detailed medical advice
Model Type: Pre-trained NLP model with custom fine-tuning.
Counselling Model
Input: User medical/counsell query
Output: Detailed medical/counsell advice
Model Type: Pre-trained NLP model with custom fine-tuning.
Usage
This project is designed to assist healthcare providers and patients by:
Classifying medications based on specific user input.
Providing personalized medical information to guide treatment decisions.
Offering a user-friendly interface for both healthcare professionals and patients.
Example Usage:
Medication Classification: Enter user details such as age, gender, blood type, medical condition, and test results to classify the most appropriate medication.
Medical Query: Input a medical question to receive detailed, AI-generated advice.
