Banklytics

Banklytics
User dashboard
Admin dashboard
System Architecture
Fraud is not waiting!

Banklytics: AI-Powered Fraud Detection & Multi-Layer Authentication

💡 Inspiration

Fraud prevention today relies on easily bypassed SMS alerts, which can be hijacked through SIM swaps, phishing, and malware. But what happens when AI-generated scams, voice cloning, and deepfake fraud enter the picture? Current systems aren’t built to handle next-gen fraud attacks.

That’s why we built Banklytics—an AI-driven fraud detection system that thinks faster than fraudsters, reacts in real-time, and authenticates users without needing Face ID, fingerprint scanning, or a smartphone.

🔐 What It Does

🚀 Instant ML-Based Risk Scoring – Every transaction is analyzed in real time.
📞 AI-Powered Phone Call Verification – No more weak SMS codes; we call you directly.
🗣 Voice Authentication for Identity Confirmation – Say “Yes” or “No” to verify transactions.
📡 Works Without Biometrics or Smartphones – No Face ID? No fingerprint scanner? No problem. Banklytics works on any phone with a microphone and speaker.
📲 Optional App-Based Facial Recognition for Extra Security – If the user has a smartphone, we can add a second layer of security with facial recognition.
🌎 Future-Ready Edge Data – (Location, IP, device fingerprinting) for next-gen fraud detection.

⚙️ How We Built It

ML Risk Analysis – Transaction scoring model trained on synthetic data (soon: real bank data!).
Voice Authentication – AI-driven phone call with voice matching for fraud detection beyond SMS.
Real-Time Processing – Event-driven pipeline using serverless tech for instant response times.
Admin Dashboard – Next.js & TailwindCSS for a clean, modern UI that tracks fraud trends.

⚠️ The Challenges We Faced

Real-Time Complexity – Making AI phone calls + ML risk scoring happen in milliseconds.
Preventing AI Voice Cloning – Voice spoofing is too easy nowadays (see Future Upgrades).
Balancing Security & User Experience – Fraud detection must be strong but frictionless.

🏆 What We’re Proud Of

First-ever AI-driven banking phone call fraud system.
Multi-layer security WITHOUT needing built-in biometrics like Face ID or fingerprint scanning.
A scalable fraud detection pipeline built in just a hackathon weekend.

🤯 What We Learned

SMS-based authentication is obsolete.
Fraud evolves fast—security must move faster.
Security shouldn’t depend on expensive devices—everyone deserves fraud protection.

🚀 Future Upgrades & Differentiation from Banking Apps

🔍 How We’re Better Than a Regular Banking App

No smartphone? No problem. – Unlike Face ID-dependent banking apps, Banklytics works on ANY phone that can receive a call.
No fingerprint scanner? No problem. – We don’t require any built-in biometrics; voice authentication is the core verification method.
AI voice cloning makes phone-based fraud worse – We use additional fraud detection techniques (see below).
Banking apps require manual logins – Our fraud detection is automatic & instant with real-time calls instead of passive app notifications.
We integrate fraud analysis for banks directly – Not just a user-facing app, but a full-stack fraud detection system banks can plug into their existing infrastructure.

What Does "Actionable Decisions" Mean?

An actionable decision is a real-time, AI-driven response to data that leads to a direct, measurable action with immediate impact. It means that after analyzing raw data, the system doesn’t just provide insights—it executes a decision that changes the outcome of a situation.

How Banklytics Generates Actionable Decisions

Banklytics doesn't just flag suspicious transactions—it takes action automatically to protect users and financial assets. These actions are real-time, triggered by AI models, and result in a direct outcome that stops fraud before it happens.

Banklytics’ Actionable Decisions Explained

Decision Type	Trigger (AI Insight)	Action (Automated Decision)	Immediate Impact
📞 Phone Call for User Confirmation	ML flags low-risk fraud	AI places call, user confirms with voice	Transaction is approved or denied instantly
🔒 Automatic Account Locking	ML flags high-risk fraud	AI locks account & notifies user	Prevents fraud before funds are stolen
📲 Biometric Authentication for Extra Security	AI detects voice spoofing	AI requests facial recognition before allowing transaction	Stops AI voice cloning fraud
🌎 Fraud Based on Location & Device Data	AI detects a transaction from an unusual location	AI temporarily blocks transaction & alerts user	Ensures only real users can access their funds
📊 Fraud Insights for Banks	System detects a new fraud pattern	AI updates fraud detection thresholds in real-time	Banks prevent future fraud more effectively

🔑 Why This Matters for Asset Protection & Social Responsibility

Fraud happens in real-time—our AI stops it in real-time.
Every decision has a direct, automated action that protects user assets.
Prevents fraud before funds are stolen, reducing financial damage.
Inclusive—works for users without smartphones or biometrics.

🛡 Future Enhancements

🔬 Voice Liveness Detection: (to stop AI voice spoofing)
- Require randomized spoken phrases instead of just "yes" or "no."
- Detect background noise inconsistencies (AI-generated voices sound too clean).
- Use intonation analysis (AI voices struggle with natural human tone changes).
👁 Optional Facial Recognition for High-Risk Cases:
- For users with smartphones, we add an optional second layer: facial verification.
- Implement blink detection & microexpressions (AI-generated deepfake faces don’t blink naturally).
- Require active user response (e.g., "turn your head left") for real-time authentication.
🌍 Full Edge Data Integration:
- Device fingerprinting: Identify fraud attempts based on device history & IP anomalies.
- Behavioral biometrics: Track user habits (e.g., typing speed, purchase history) to spot suspicious deviations.

💭 What’s Next for Banklytics?

Partnering with fintech companies to integrate our fraud system with real banking APIs.
Deploying a working prototype that banks can test in live environments.
Expanding edge data analysis to enhance fraud detection accuracy.

Fraud isn’t waiting. Neither should security. Banklytics is the future of AI-powered fraud detection. 🔥