This tool is designed to assist fraud investigators in detecting and analyzing suspicious banking transactions. The tool provides a user-friendly interface for uploading and visualizing bank statements, as well as implementing various pattern detection methods to identify potentially fraudulent transactions.
To use the tool, follow these steps:
- Visit our website and register with your basic details to create an account.
- Once logged in, navigate to the homepage.
- Upload the bank statement of the person you wish to investigate, in any available format (.pdf, .csv, .xlsx).
- Input the account number of the account holder (sender) and their bank name.
- Click on submit and the tool will automatically download the bank statement in a common format (.csv).
- Navigate to the "Visualize" page, where you can view all the nodes and their corresponding transactions.
- Observe the nodes, their patterns, and suspicious nodes (if flagged).
- See pattern detection methods, such as Page Rank algorithm, Community Clustering, HITS, and Cycles detection.
- Pattern detection mechanism is integrated with graph-visualization.
- Click on "Generate Report" button to create a detailed report of the analysis.
The following pattern detection methods have been integrated with the graph-visualization:
- Page Rank algorithm
- Community Clustering
- HITS
- Cycles detection
- Geographic detection method
This tool is licensed under the MIT License. See the LICENSE file for more details.