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FinPay Dashboard

A real-time FinTech analytics dashboard with AI-powered fraud detection and multi-currency support.

Project Details Case Study

Client

FinPay Technologies

Industry

FinTech

Duration

5 Months

Budget

$72,000

Tech Stack

Next.js Python FastAPI Redis PostgreSQL TensorFlow

Results Delivered

92% fraud detection accuracy

$1.2M in prevented fraudulent transactions in year one

Dashboard response time under 80ms

SOC2 compliance achieved

01
The Challenge

FinPay was processing millions of transactions monthly with legacy infrastructure that could not detect fraud in real time, resulting in significant financial losses and compliance risk.

02
Our Solution

We architected a real-time financial analytics platform with an AI-powered fraud detection engine (TensorFlow), a live transaction monitoring dashboard built in Next.js, and a high-performance FastAPI backend with Redis caching for sub-100ms response times.

03
Key Features Built
Real-time transaction monitoring
AI-powered fraud detection engine
Multi-currency & multi-region support
Compliance & audit reporting
Role-based access & 2FA
Webhook & API integrations
"
The fraud detection engine Melonkode built has saved us over a million dollars in the first year alone. The dashboard is fast, reliable, and our compliance team loves it.
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