Flutter Developer | 2+ YOE | Scaled apps to 3M users | 7x Hackathon Winner | SIH 2025 Finalist | AI Builder

Shubham Bera  • Peerlist

1. AI-Powered Fraud Detection Combines XGBoost & LightGBM for transaction analysis + RAG model for behavioral context. 2. Real-Time Alerts Instant fraud notifications via FCM/OneSignal with risk scores (0-100%). 3. User & Bank Portals Flutter app for users to report fraud. MERN dashboard for banks to monitor trends. 4. Heatmap Analytics Visualizes state-wise fraud patterns to identify high-risk zones. 5. Automated Reporting Generates PDF reports with detailed risk factors for disputed transactions. 6. Cloud Deployment Models hosted on Render for scalable, low-latency fraud checks

Fraud shield - An Online Banking application 

- PREDICTIVE FAILURE FORECASTING (LSTM-BASED) - ANOMALY DETECTION ENGINE (RANDOM FOREST MODEL) - REAL-TIME SENSOR DATA ANALYSIS - VISUAL DEFECT DETECTION WITH YOLOV8 - AUGMENTED REALITY EQUIPMENT VISUALIZER (AR-POWERED INTERFACE)

Predictive Maintainace for smart manufacturin

The AI Enhanced Version of the Rail Madad by CIRS

Shubh Yatra

✓ An Ai Enhanced version of Rail Madad Application ✓ Developed a multilingual, cross-platform app to streamline the railway complaint process, reducing response times by 50%. ✓ Implemented urgent complaint prioritization and a real-time dashboard for tracking trends, enhancing resolution efficiency by 40%. ✓ Designed the app to support 10+ Indian languages, ensuring accessibility for a diverse user base. ✓ Built using Flutter, Node.js, and REST APIs, focusing on scalability and user experience.