Build **FraudShield AI**—a $10K/year SaaS platform for mid-market banks to automate RBI-compliant fraud detection and compensation. The platform would: 1) Use Gemini API to analyze transactions in real-time for anomalies (e.g., 'UPI transaction at 3 AM—high-risk'); 2) Auto-generate RBI-compliant dispute reports and compensation payouts; 3) Integrate with NPCI’s API to block fraudulent transactions instantly; 4) Provide a 'Fraud Risk Dashboard' showing real-time exposure (e.g., '₹2.5L fraud detected this month—80% recovered').

Market Catalyst & News Trigger

"RBI enhances customer protection for electronic banking transactions, mandating compensation for fraudulent transactions and 24/7 reporting"

The Workflow Friction

Mid-market banks and fintechs in India struggle to comply with RBI’s new fraud compensation rules due to lack of real-time transaction monitoring and automated dispute resolution. Manual processes lead to delayed refunds, customer churn, and regulatory penalties (up to ₹5 lakh per violation). Current enterprise solutions (e.g., SAS Fraud Management) cost $200K+/year, making them unaffordable for smaller players.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

A dashboard showing: 1) Real-Time Transaction Feed (e.g., 'UPI Transaction: ₹5,000—Flagged as High Risk'); 2) Fraud Detection Alerts (e.g., 'SIM Swap Detected—Block Transaction'); 3) RBI Compliance Status (e.g., 'Dispute Report Submitted—Refund Due in 24h'); 4) Customer Compensation Tracker (e.g., '₹1.2L refunded this week'); 5) Risk Heatmap (e.g., 'Top Fraud Types: UPI (60%), Debit Card (30%)').

Recommended Developer Tech Stack

• React
• FastAPI
• PostgreSQL
• Gemini API
• NPCI API
• AWS Lambda