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title 🎉 fraud-detection-api - Simple Fraud Detection Made Easy
description 🔍 Implement a Fraud Detection REST API that scores financial transactions for risk and ensures model explainability with SHAP.

🎉 fraud-detection-api - Simple Fraud Detection Made Easy

🚀 Getting Started

Welcome to the fraud-detection-api! This project offers a user-friendly REST API for detecting fraud using machine learning. It is built with FastAPI and powered by LightGBM. No programming skills are needed to get started.

📥 Download Now

Download Here

📋 Overview

This API helps you identify potential fraudulent activities in various scenarios. Utilizing the power of machine learning, it can quickly process data and return reliable results. The API is tailored for those who need fraud prevention solutions but may not have technical expertise.

🛠️ Features

  • Fraud Detection: Quickly analyze transactions for signs of fraud.
  • REST API: Easy to use and integrate with other applications.
  • Machine Learning Powered: Uses advanced LightGBM techniques to improve detection accuracy.
  • FastAPI Framework: Ensures high performance and speed.
  • Docker Support: Simplifies the installation process.

📂 System Requirements

  • Operating System: Windows, macOS, or Linux
  • Docker: Installed on your system for containerization.
  • Python: Version 3.7 or higher for running the API locally.

💡 Installation Steps

Follow these simple steps to get the fraud detection API up and running:

  1. Visit the Releases Page: Go to the Releases page to find the latest version.

  2. Download the API: Look for the latest release. Click on the appropriate link to download. You will see a compressed file (zip or tar) for your operating system.

  3. Extract Files: After downloading, extract the files to a location on your computer. You will find all necessary files to run the API.

  4. Install Docker: If you haven’t installed Docker yet, follow the instructions on the Docker website to set it up.

  5. Run the API: Open your terminal or command prompt, navigate to the extracted folder, and run the following command to start the API:

    docker-compose up

    This command will launch the API and make it available for use.

  6. Access the API: Open your web browser and visit http://localhost:8000/docs to view the API documentation. You will find helpful information on how to use different endpoints for fraud detection.

🎯 How to Use the API

Once the API is running, you can send requests to it. You have several endpoints to choose from, each designed for different functions. For instance, you can submit transaction data to check if it's likely to be fraudulent. Here’s how:

  1. Submit Data: Use the provided HTML form or your preferred API client (like Postman) to send data for analysis.

  2. Receive Response: The API will return a response indicating whether the transaction is considered fraudulent or legitimate.

📌 Troubleshooting

If you run into issues, check the following:

  • Ensure Docker is running on your system.
  • Make sure you are accessing the correct API endpoint.
  • Review the API documentation for any additional details.

👍 Contribute

Contributions are welcome! If you have ideas to improve this project or find bugs, feel free to create an issue or submit a pull request.

📄 License

This project is licensed under the MIT License. Feel free to use and modify it as needed.

📣 Get Support

If you need help, you can reach out through the Issues section of the repository. We’re happy to assist you.

🏁 Conclusion

The fraud-detection-api makes fraud detection accessible to everyone. Follow the steps above to install and run the API with ease. Once set up, you can enhance your projects with powerful fraud detection capabilities.

📥 Download Again

For your convenience, you can always download the latest release here.