FraudDetectAI

FraudDetectAI is a project aimed at developing an artificial intelligence-based system for fraud detection. The system utilizes advanced machine learning techniques to analyze and identify fraudulent activities in various domains.

Features

• ODABOD.ipynb: Jupyter Notebook containing the implementation of the ODABOD (Outlier Detection with Autoencoders using Bagging of Deep models) algorithm for fraud detection.

• ODLOF.ipynb: Jupyter Notebook containing the implementation of the ODLOF (Outlier Detection with Local Outlier Factors) algorithm for fraud detection.

Getting Started

To get started with FraudDetectAI, follow these steps:

1. Clone the repository:

   git clone https://github.com/MohamadsalehMoradpoor/FraudDetectAI.git

2. Install the required dependencies:

   pip install -r requirements.txt

3. Open the Jupyter Notebooks ODABOD.ipynb and ODLOF.ipynb to explore and run the fraud detection algorithms.

Contributing

Contributions are welcome! If you would like to contribute to FraudDetectAI, please fork the repository and create a pull request.

Contact

For any questions or inquiries, please contact me.