GMR HEALTH-CARE CHATBOT 🤖💉

GMR HEALTH-CARE CHATBOT is an intelligent conversational AI model designed to provide health information, medical assistance, and appointment scheduling through a chat interface.

Technologies Used 🚀

• Programming Languages: Python, JavaScript
• Framework: Django
• Libraries: nltk, numpy, torch
• Model Architectures: RNN, BRNN, LSTM, BLSTM, Neural Net, BERT

Chatbot Operation 🤔

The chatbot operation involves natural language processing to understand user queries and provide appropriate responses. It supports various medical queries, health information retrieval, and appointment scheduling.

Chatbot Models 🤖

The project includes the implementation of various models for natural language processing:

• RNN (Recurrent Neural Network)
• BRNN (Bidirectional Recurrent Neural Network)
• LSTM (Long Short-Term Memory)
• BLSTM (Bidirectional LSTM)
• Neural Net
• BERT (Bidirectional Encoder Representations from Transformers)

How to Use 🚀

1. Registration and Login:

   • Users can register for an account by providing their details.
   • After registration, users receive a confirmation email to activate their account.
   • Login using the registered credentials.

2. Chatbot Interaction:

   • Access the chatbot interface on the home page.
   • Enter text in the chatbox to interact with the chatbot.
   • The chatbot provides responses based on the implemented models.

3. Make Appointment:

   • Navigate to the "Contact" section to schedule appointments.
   • Fill in the required details, including Gmail ID, subject, and messages.
   • Submit the form to request an appointment.

Project Structure 📁

The project structure includes Django views for user registration, login, chatbot interaction, and appointment scheduling.

• views.py: Contains functions for user registration, login, chatbot interaction, and appointment scheduling.
• tokens.py: Token generation for user activation.
• email_confirmation.html: Email template for account activation.
• sent.html: Confirmation page after submitting an appointment request.

Dependencies 🌟

Ensure that the necessary Python libraries and frameworks are installed before running the project. Use the following command to install dependencies:

pip install -r requirements.txt

Contact Information📬

For any inquiries or assistance, feel free to contact the project creator:

Name: Kiran Email: chitturidurgasatyasaikiran@gmail.com

Acknowledgments🙏

Special thanks to the developers and contributors of the libraries, frameworks, and models used in this project. The success of GMR HEALTH-CARE CHATBOT is attributed to the vibrant open-source community.

Feel free to contribute, provide feedback, or report issues to enhance the capabilities of the chatbot.

👨‍💻 Happy Coding!