AI-Based Real-Time Fraud Detection API for Banking Transactions
PinsoutArtificial IntelligenceProject Objectives:
Develop an API that analyzes banking transactions and flags suspicious activity using AI/ML models in real-time.
Project Tasks:
Design database for users, accounts, and transactions.
Develop API endpoints for transaction submission and fraud detection.
Preprocess historical transaction data for AI modeling.
Train ML models for anomaly detection and fraud classification.
Integrate AI model with API endpoints.
Implement authentication and secure data transmission.
Test API under various transaction scenarios.
Add logging, error handling, and monitoring.
Document endpoints, request/response format, and AI workflow.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Data Preprocessing & Feature EngineeringMachine Learning & Anomaly Detection (Python, Scikit-Learn, Tensorflow, Pytorch)Api Development (Rest Apis Using Flask, Fastapi, Node.Js, Etc.)Database Design & Transaction Management (Sql/Nosql)Secure Coding & Api Security (Authentication, Encryption, Secure Transmission)
