https://github.com/nuraj250/find-your-doc

A web-based chatbot application that interacts with users and provides responses based on a trained machine learning model.
https://github.com/nuraj250/find-your-doc

chatbot flask flask-application python3 tensorflow

Last synced: over 1 year ago
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A web-based chatbot application that interacts with users and provides responses based on a trained machine learning model.

• Host: GitHub
• URL: https://github.com/nuraj250/find-your-doc
• Owner: Nuraj250
• Created: 2024-05-24T06:44:52.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-14T04:25:43.000Z (over 1 year ago)
• Last Synced: 2025-01-13T18:42:04.772Z (over 1 year ago)
• Topics: chatbot, flask, flask-application, python3, tensorflow
• Language: Python
• Homepage:
• Size: 5.03 MB
• Stars: 16
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
**# Find Your Doctor Chatbot Application**********

![Chatbot Interface](static/images/Screenshot.png)

## What

"Find-your-doc" is a web-based chatbot application designed to provide real-time information about doctors' availability. It simplifies the process of finding an available doctor by interacting with users through a natural language interface.

This project is a simple web-based chatbot application built using Flask, TensorFlow, and Material Design Lite. The chatbot responds to user inputs based on a pre-trained model.

## How

1. **Clone the Repository**

    ```sh

    git clone 

    cd project

    ```

2. **Create and Activate Virtual Environment**

    ```sh

    python -m venv venv

    source venv/bin/activate  # On Windows use `venv\Scripts\activate`

    ```

3. **Install Dependencies**

    ```sh

    pip install -r requirements.txt

    ```

4. **Prepare and Train the Model**

    - Ensure `intents.json` is in the `data` directory.

    - Run the training script:

      ```sh

      python trainingmodel.py

      ```

5. **Run the Flask Application**

    ```sh

    python main.py

    ```

## View

- **Open your web browser** and navigate to `http://127.0.0.1:5000` to interact with the chatbot interface.

- **Chat Interface**: 

  - The chat interface consists of a chat box where messages are displayed and an input area where you can type and send your messages.

  - The chatbot's responses will appear in the chat box as you interact with it.

  ![Chatbot Interface](static/images/Screenshot.png)