Elinra

Neural Finance Platform

AI-Driven Financial System with Blockchain-Powered Risk Analysis

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Project Summary

Client

Global Financial Institutions

Duration

9 months

Solution

Blockchain Fraud Detection

Finance Challenge

The Challenge

Financial institutions needed advanced fraud detection capabilities and real-time risk analysis for high-volume transactions while maintaining compliance with global financial regulations.

  • Detect 0-day financial fraud patterns
  • Maintain regulatory compliance across regions
  • Process millions of transactions daily
Finance Solution

The Solution

We developed a hybrid system combining blockchain's immutable ledger with machine learning pattern recognition to analyze transactions in real-time while generating auditable security trails.

Neural Network Analysis

Deep learning models detect anomalous patterns

Blockchain Audit Trail

Immutable record of all financial transactions

Regulatory Dashboard

Compliance monitoring for 60+ financial regulations

Real-Time Alerts

Instant notifications for suspicious activity

Technology Stack

Python

Python

Backend machine learning processing

React

React

Interactive analytics dashboard

TensorFlow

TensorFlow

Model development and deployment

AWS

AWS

Cloud infrastructure for scalability

Impact

93%

Reduction in Fraud Cases

2.3s

Processing Delay Rate

12M+

Transactions Monitored

Core Team

Dr. Aisha Patel

Dr. Aisha Patel

ML Lead

Specializing in fraud pattern detection models

Marcus Green

Marcus Green

Blockchain Architect

Designing secure financial ledgers

Sophia Lee

Sophia Lee

Compliance Officer

Financial regulation expert

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