🎯 Goal: Detect fraudulent transactions in real-time using user behavior patterns and historical data.
📦 Solution: Real-time Monitoring + Anomaly Detection + Alert System
⚙️ Technology: Kafka, PyTorch, Isolation Forest, Scikit-learn
📈 Result: 35% earlier fraud detection, preventing billions in losses per quarter
⏱️ PoC Time: 4 weeks
Problem: Get the name of wines which was take photograph by users. In this problem, we need to recognize a large number of wines (up to 10000 labels) Solution: To solve above probl...
Role: Requirement analysis Develop modules to meet requirements Implement remote label printing functionality for use with Covid 19. Period 2021 Team size 14 Environment SAP...
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