Protect every transaction with our hybrid AI engine combining machine learning, behavioral analysis, and India-specific intelligence — catching fraud before it happens.
A multi-layered defense system that combines AI, behavioral analysis, and contextual intelligence
Trained on 280,000+ records with advanced feature engineering — detects complex, non-linear fraud patterns instantly.
Tracks user spending history and flags anomalies — a ₹500 → ₹50,000 jump is instantly detected as HIGH RISK.
Cross-border detection, INR ↔ USD currency flags, inter-state tracking, and UPI-aware risk analysis.
Verifies platform trust scores — reduces false positives on Amazon/Flipkart, flags suspicious domains instantly.
Sub-second analysis per transaction with live alerts, risk score gauges, and trend visualization.
Every risk score is fully decomposed — judges and auditors can see exactly why a transaction was flagged.
Our hybrid engine processes every transaction through 3 layers of analysis
Amount, currency, location, website, product details are captured
XGBoost + Isolation Forest analyze features and output fraud probability
20+ deterministic rules for currency, location, velocity, and trust analysis
Compares against user spending history — flags spikes over 3x average
Final combined score with full reason decomposition and actionable alert
{
"risk_score": 85,
"risk_level": "High",
"fraud_probability": 0.72,
"reasons": [
"Sudden spike in spending (12.5x avg ₹4,000)",
"Foreign currency (USD) used by India-based user",
"Cross-border transaction (India → Nigeria)",
"Transaction from untrusted website"
]
}Designed to solve actual challenges in Indian fintech fraud prevention
₹500 → ₹50,000 jumps are always flagged as HIGH RISK. Our 5x override rule ensures no anomaly slips through.
Buying on Amazon India? Risk reduced. Same amount on unknown-shop.org? Risk increased. Context matters.
The system continuously learns each user's spending pattern, updating behavioral profiles with every transaction.
Every score is decomposed into reasons with point values. No black boxes — built for audit compliance.
INR/USD currency awareness, inter-state tracking, UPI behavior simulation, and local platform trust database.
JWT auth, SQLite persistence, Flask REST API, real-time dashboard — deployable from day one.
NeoFuture Hackathon 2026
AI-Powered Financial Security
We are a team of passionate developers and ML engineers building the next generation of financial fraud prevention. Our system combines cutting-edge machine learning with practical, explainable rule-based intelligence to protect every transaction.
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| ID | Amount | Location | Website | Risk Score | Risk Level | Date |
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