This project aims to develop a fraud detection system using low-code tools integrated with AI-based risk scoring APIs. The platform analyzes transaction patterns, detects suspicious behavior, and automatically flags high-risk financial activities.
Integrate AI fraud detection API.
Design transaction entry and monitoring modules.
Implement anomaly-based transaction scoring.
Configure automated fraud alert workflows.
Build dashboards showing fraud risk metrics.
Develop case investigation workflow.
Implement reporting tools for flagged transactions.
Configure secure access control mechanisms.
Conduct testing using simulated transaction datasets.
Document AI risk scoring model integration.
Present final demonstration.
