Blood Donation Alert System

A secure socket-based Blood Donation Alert System built using Python that enables real-time donor-recipient communication with SSL encryption, multicast networking, congestion control, and GUI-based management.

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Features

• Secure SSL/TLS based communication
• Real-time blood donation alerts
• Multicast socket communication
• TTL-based routing simulation
• Congestion control using Token Bucket/Leaky Bucket
• SQLite integrated donor database
• Tkinter GUI for client interaction
• Intrusion detection and spam monitoring
• Multi-client and multi-server support
• Custom control and data communication protocol

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Tech Stack

• Python
• Socket Programming
• SSL/TLS
• Tkinter
• SQLite
• Multithreading
• Networking Concepts

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Project Structure

bloodbank_network/
│
├── server/
│   ├── server_main.py
│   ├── ssl_handler.py
│
├── client/
│   ├── client_main.py
│   ├── ssl_handler.py
│
├── utils/
│   ├── ids_module.py
│   ├── port_scanner.py
│
├── database/
│   ├── donors.db
│
├── certificates/
│   ├── server.crt
│   ├── server.key
│
└── README.md

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Installation

1. Clone the Repository

git clone https://github.com/your-username/bloodbank_network.git
cd bloodbank_network

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2. Install Dependencies

pip install -r requirements.txt

If requirements.txt is unavailable:

pip install pyopenssl

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How to Run the Project

Step 1 — Start the Server

Open a terminal inside the project folder:

cd server
python server_main.py

Example Output

[SERVER] SSL Server Started
[SERVER] Waiting for clients...

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Step 2 — Start the Client

Open another terminal:

cd client
python client_main.py

Example Output

[CLIENT] Connected securely to server
[CLIENT] GUI Started

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Example Workflow

Donor Registration

1. Open the client GUI
2. Enter:
   • Name
   • Blood Group
   • Location
3. Click Register

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Blood Request Example

Blood Group: O+
Location: Bangalore
Units Needed: 2

The system securely multicasts alerts to matching donors.

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Networking Concepts Used

• TCP Socket Programming
• SSL/TLS Encryption
• Multicasting
• Congestion Control
• Routing Simulation
• Intrusion Detection
• Reliable Data Transfer

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Future Enhancements

• Mobile application support
• GPS-based donor tracking
• Cloud deployment
• AI-based donor prediction
• Emergency priority routing

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Contributors

• Shreya Robin

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License

This project is developed for educational and academic purposes.