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RSK World
healthcare-assistant-bot
RSK World
healthcare-assistant-bot
Healthcare Assistant Bot - Python + Flask + SQLite + PHP Dashboard + NLP + Medical Features
healthcare-assistant-bot
  • static
  • templates
  • .dockerignore83 B
  • .gitignore114 B
  • Dockerfile510 B
  • LICENSE1.1 KB
  • README.md4.1 KB
  • RELEASE_NOTES.md814 B
  • app.py4.8 KB
  • appointments.py456 B
  • database.py2.5 KB
  • image_prompts.txt1.7 KB
  • reminders.py409 B
  • requirements.txt54 B
  • symptoms.py897 B
reminders.pyREADME.mdrequirements.txtRELEASE_NOTES.mdLICENSEsymptoms.py
reminders.py
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#
# Project: Healthcare Assistant Bot
# Author: Molla Samser
# Author's Email: info@rskworld.com
# Author's Phone: +91 93305 39277
# Author's Website: https://rskworld.in
# Year: 2026
#

from database import add_reminder

def set_reminder(medication, time):
    """
    Sets a new medication reminder.
    """
    add_reminder(medication, time)
    return f"I will remind you to take {medication} at {time}."
18 lines•409 B
python
README.md
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README.md

<!--
Project: Healthcare Assistant Bot
Author: Molla Samser
Author's Email: info@rskworld.com
Author's Phone: +91 93305 39277
Author's Website: https://rskworld.in
Year: 2026
-->

# Healthcare Assistant Bot

**Category:** Custom Chatbots

**Description:** A sophisticated healthcare chatbot designed to streamline patient interactions and improve engagement. This bot offers a range of features, from appointment scheduling to providing medical information, making it an invaluable tool for healthcare providers.

**Full Description:** This chatbot provides comprehensive healthcare assistance, including appointment scheduling, symptom checking, medication reminders, and access to medical information. It's an ideal solution for healthcare providers looking to enhance patient engagement and automate routine tasks. The system is designed with HIPAA compliance in mind, ensuring patient data is handled securely.

## Features

- **Appointment Scheduling:** Allows users to book, reschedule, and cancel appointments with healthcare providers.
- **Symptom Checker:** Provides a preliminary symptom analysis and suggests potential next steps.
- **Medication Reminders:** Sends timely reminders to patients for their medication schedules.
- **Medical Information:** Offers a reliable source of information on various medical conditions, treatments, and drugs.
- **HIPAA Compliance:** Built with security best practices to ensure the confidentiality and integrity of patient health information.
- **User Authentication:** Secure login and registration system for patients and administrators.
- **Admin Dashboard:** A dashboard for administrators to view all appointments and reminders.

## Technologies

- **Python:** The core programming language for the chatbot's logic.
- **NLP (Natural Language Processing):** Enables the chatbot to understand and respond to user queries in a human-like manner.
- **Healthcare APIs:** Integrates with external healthcare systems and databases for appointments and medical information.
- **Database:** Stores user data, appointments, and other relevant information securely.
- **Flask:** A micro web framework for Python, used to build the web interface and API endpoints.
- **Docker:** For containerizing the application for easy deployment.

## Difficulty

**Advanced:** This project involves complex integrations, data management, and a deep understanding of healthcare workflows.

## Getting Started

1. **Prerequisites:**
* Python 3.8 or higher
* pip for package management
* Virtualenv (recommended)
* Docker (optional)

2. **Installation:**
```bash
# Clone the repository
git clone https://github.com/your-username/healthcare-assistant-bot.git

# Navigate to the project directory
cd healthcare-assistant-bot

# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`

# Install the required dependencies
pip install -r requirements.txt
```

3. **Configuration:**
* Set up your database connection in `config.py`.
* Configure any external API keys (e.g., for a healthcare API) in a `.env` file.

4. **Running the Application:**
```bash
# Run the Flask application
python app.py
```
The application will be accessible at `http://127.0.0.1:5000`.

## Docker

To build and run the application using Docker, follow these steps:

1. **Build the Docker image:**
```bash
docker build -t healthcare-assistant-bot .
```

2. **Run the Docker container:**
```bash
docker run -p 5000:5000 healthcare-assistant-bot
```

## Project Structure

```
healthcare-assistant-bot/
|-- app.py
|-- requirements.txt
|-- config.py
|-- templates/
| |-- index.html
| |-- login.html
| |-- register.html
| |-- admin.html
|-- static/
| |-- css/
| | |-- style.css
| |-- js/
| |-- script.js
|-- Dockerfile
|-- .dockerignore
```

## Contributing

Contributions are welcome! If you have any suggestions or improvements, please create an issue or submit a pull request.

## License

This project is licensed under the MIT License. See the `LICENSE` file for more details.
requirements.txt
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Flask
nltk
scikit-learn
pandas
numpy
tensorflow
keras
8 lines•54 B
text
RELEASE_NOTES.md
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RELEASE_NOTES.md

# Release Notes - v1.0.0

## Healthcare Assistant Bot - Initial Release

This is the initial production-ready release of the **Healthcare Assistant Bot**.

### Key Features
- **Symptom Checker**: Basic AI-driven analysis of user symptoms.
- **Appointment Management**: Interface for scheduling and viewing medical appointments.
- **Reminders**: Automated medication and appointment reminders.
- **Secure Database**: Persistent storage for user data and logs.
- **Web UI**: User-friendly interface built with Flask and responsive CSS.

### Changes in this release
- Initial codebase push.
- Project structure finalized.
- `.gitignore` added to exclude local configuration and temporary files.
- Documentation (README and Release Notes) updated.

---
*Generated by Antigravity AI on 2026-01-06*
LICENSE
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MIT License

Copyright (c) 2026 Molla Samser (info@rskworld.com)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
21 lines•1.1 KB
text
symptoms.py
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#
# Project: Healthcare Assistant Bot
# Author: Molla Samser
# Author's Email: info@rskworld.com
# Author's Phone: +91 93305 39277
# Author's Website: https://rskworld.in
# Year: 2026
#

def check_symptoms(symptoms):
    """
    Provides a preliminary symptom analysis.
    This is a simple rule-based implementation.
    """
    symptoms = symptoms.lower()
    if "headache" in symptoms and "fever" in symptoms:
        return "You might have a flu. It is recommended to consult a doctor."
    elif "cough" in symptoms and "sore throat" in symptoms:
        return "You might have a common cold. Rest and drink plenty of fluids."
    elif "chest pain" in symptoms:
        return "Chest pain can be a sign of a serious condition. Please seek medical attention immediately."
    else:
        return "I can't provide a diagnosis for your symptoms. It's best to consult a healthcare professional."
24 lines•897 B
python
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