royaals/Medi-Bot

Platform provides comprehensive healthcare solution.

Medical Health Advisor

The services offered by our platform cater specifically to the needs of elderly individuals. We provide:

1. Disease Prediction: Early detection of health issues through cutting-edge algorithms.

2. Doctor Appointment Booking: Simplified and accessible healthcare appointments.

3. Mental Health Chatbots: Emotional support to address loneliness and mental health concerns.

4. Medical Chatbots: Reliable information and guidance for health-related queries.

These services are designed to empower seniors, improve their quality of life, and enhance their overall healthcare and well-being.

Demo

Youtube link: https://www.youtube.com/watch?v=6p0oHkE6j1E

Medical Chatbot

This is a Flask application that uses OpenAI's GPT-3.5-turbo model to power a medical chatbot. The chatbot strictly provides information within the medical domain.

Setup

1. Install the required Python packages:

pip install flask openai python-dotenv

2. Set your OpenAI API key in an environment variable:

export OPENAI_API_KEY='your-api-key'

Usage

1. Run the Flask application:

python app.py

2. Navigate to the root URL to access the chatbot interface.
3. Send POST requests to the "/api" endpoint with a JSON payload containing a "message" key to interact with the chatbot.

Streamlit Application for Naive Bayes Classifier

This is a Streamlit application that uses a Multinomial Naive Bayes classifier for some sort of prediction task.

Setup

1. Install the required Python packages:

pip install streamlit numpy pandas scikit-learn

2. Set your Google Cloud project ID and location in environment variables:

export PROJECT_ID='your-project-id'
export LOCATION='your-location'

Usage

1. Run the Streamlit application:

streamlit run app.py

2. Use the interface to interact with the Naive Bayes classifier.