Research and industrial project entitled fraudulent behavior detection in finical statement
We are pleased to announce the successful completion of a research/ industrial project on fraud detection in financial statements. The brilliant achievement of this project is the construction of a high-tech deep learning model using the latest synthetic data generation and anomaly detection techniques. The performance of this model is evaluated using a real-world dataset containing human-engineered features extracted from Iranian banks’ financial reports. This product is now available and in use. You can read more about it in an article to be published soon.
We have now started the second mission with a new team, and the effort to improve the efficiency of this product continues.