Our project aims to build a Zero-Trust, AI-powered Transaction Verification System that continuously validates user identity, device trust, and transaction intent in real-time to prevent fraud and enhance digital trust.

Identity & Session Security
Instead of relying on one-time logins, our system implements continuous authentication using behavioral biometrics such as keystroke dynamics, typing speed, mouse movement, and touch pressure. The AI engine monitors user behavior throughout the session—if any anomaly or deviation is detected, the system immediately flags or suspends the session for verification.

Fraud & Transaction Trust
Every transaction is evaluated through an AI-driven risk scoring model that considers:
Device fingerprinting (OS, browser, IP, and geolocation)
User transaction patterns (time, amount, and frequency)
Behavioral biometrics (gesture, typing rhythm)

If the risk score exceeds a defined threshold, the user is prompted for step-up verification, such as Face ID or voice biometric authentication, ensuring a layered defense mechanism.

Data Protection & Privacy
We ensure end-to-end encryption with zero-knowledge architecture — no raw biometric data is stored; only hashed behavioral profiles are kept. A blockchain-based audit trail provides a tamper-proof record of all transactions, ensuring transparency and regulatory trust.

Inclusion & Resilience
To make the solution inclusive, we support voice-based authentication for rural or non-literate users, compatible with low-end smartphones. A multi-language AI assistant guides users through secure transactions, while an offline mode with delayed sync ensures functionality in low-connectivity areas.