IoT-Integrated-Medicine-Vending-System

Overview

This project is an innovative IoT-based solution for dispensing prescription medications, providing a contactless, automated system for doctors, patients, and pharmacy integration. The system includes web interfaces for both doctors and patients, enabling real-time tracking and management of medical prescriptions, payments, and RFID tag-based identification for dispensing medication.

The hardware component includes an ESP32 board connected to an RFID module, which communicates with a Flask server. Patients can use RFID tags to identify themselves, view prescriptions, and make payments through Razorpay. The doctor can manage patient details and prescriptions via a web interface.

Key Features

• Patient Module:

  • RFID tag scanning for patient identification.
  • View and retrieve prescription details based on the RFID tag.
  • Online payment integration using Razorpay for purchasing medications.
  • Communicates with an ESP32 microcontroller for IoT-based medication dispensing.

• Doctor Module:

  • Web interface to manage patient details and prescriptions.
  • Retrieve and update prescription details in real-time from Firebase.

• IoT Hardware Integration:

  • RFID scanner connected to an ESP32 microcontroller.
  • Sends data from the RFID module to the Flask server via HTTP requests.
  • Handles real-time data communication between hardware and the web app.

Technologies Used

• Backend: Flask, Firebase, Razorpay API
• Frontend: HTML, CSS, JavaScript
• Database: Firebase Realtime Database
• IoT Hardware: ESP32, MFRC522 RFID module
• Libraries/Frameworks:
  • Firebase Admin SDK: For managing the database.
  • Razorpay SDK: For payment integration.
  • ArduinoJSON: For JSON parsing on ESP32.
  • WiFi.h: For enabling Wi-Fi communication on ESP32.
  • HTTPClient.h: For handling HTTP requests in ESP32.

Software Setup

1. Clone the repository:

   git clone https://github.com/yourusername/IoT-Medicine-Vending-System.git
   cd IoT-Medicine-Vending-System

2.### Installation

Clone the repository:

First, download the project by cloning the repository to your local machine:

git clone https://github.com/Afrinaf/IoT-Integrated-Medicine-Vending-System.git

Navigate to the project directory:

Change your directory to the project's folder:

cd IoT-Integrated-Medicine-Vending-System

Set up the Python virtual environment:

It's recommended to use a virtual environment to manage dependencies.

• For Windows: Open your terminal (Command Prompt or Git Bash) and run the following command to create a virtual environment:

  python -m venv myenv

  Then, activate the virtual environment:

  myenv\Scripts\activate

  For Linux/Mac: Run the following command to create a virtual environment:

  python3 -m venv myenv

  Then, activate the virtual environment:

  source myenv/bin/activate

Install the required dependencies:

With the virtual environment activated, install the project dependencies listed in the requirements.txt file:

pip install -r requirements.txt

Set up the necessary configurations:

Add your API keys (e.g., Firebase) and other sensitive information to key.json (this file should be excluded from Git via .gitignore).

Run the application:

Start the Flask server by running:

Patient Module

python patient.py 

Doctor Module

python doctor.py 

Access the application:

Once the server is running, you can access the application in your web browser at:

Patient Module

http://localhost:5000

Doctor Module

http://localhost:5002

3 Configure Firebase:

• Add your Firebase credentials in a key.json file and place it in the root directory.
• Modify the databaseURL in the Python script to match your Firebase project.

5. Access the web interface:
   • Patient: http://127.0.0.1:5000
   • Doctor: http://127.0.0.1:5002

Doctor Module

• The doctor uses a similar Flask setup, where they can search for patients by their RFID tag number and view prescription details.

Razorpay Payment Integration

To enable payments, update the Razorpay credentials in the code:

razorpay_client = razorpay.Client(auth=('YOUR_RAZORPAY_KEY', 'YOUR_RAZORPAY_SECRET'))

Hardware Setup

Components:

• ESP32
• MFRC522 RFID Reader
• Wi-Fi Enabled (SSID: Galaxy A53 5G1A11, Password: elitepro)

Code:

1. Install necessary libraries in your Arduino IDE:

   • MFRC522
   • ArduinoJson
   • WiFi
   • HTTPClient

2. Flash the provided Arduino code to your ESP32.

3. The ESP32 will scan the RFID tag and send the tag number to the Flask server at the /update_tag endpoint. The server will handle this data and associate it with patient details in Firebase.

4. Hardware logic includes:

   • Detecting a new RFID tag.
   • Sending an HTTP POST request to the server with the scanned tag number.

Screenshots

Doctor Module

Patient Module

Future Enhancements

• Automated Medicine Dispensing: Integrate a mechanical dispenser to automatically dispense the medicine after payment.
• Push Notifications: Implement push notifications for patients when their prescription is ready for pickup.
• Detailed Doctor Dashboard: Provide real-time analytics and detailed patient history on the doctor’s dashboard.

License

This project is licensed under the MIT License.