Finance & Banking
Build a Fraud Detection & Prevention Platform with AI - in Hours
ProjectCode generates a complete, production-ready Fraud Detection & Prevention Platform from a single natural language prompt. In hours instead of months, you get a React frontend, NestJS REST API, PostgreSQL database, and authentication - fully integrated, live-previewed, and deployed to a URL you own.
Free to start · No credit card required
The Challenge
Why building a Fraud Detection from scratch is hard
Building a Fraud Detection & Prevention Platform from scratch requires months of development time and significant engineering resources. Teams struggle to coordinate frontend, backend, database, and authentication while managing fraud detection-specific business logic, integrations, and role-based access rules.
What's Included
Everything your Fraud Detection needs
ProjectCode generates a production-ready Fraud Detection with all the modules your team needs from day one.
Architecture
How it's built
The generated Fraud Detection follows production-grade architecture patterns.
React 18 + TypeScript frontend with role-based dashboards tailored for fraud detection workflows
NestJS REST API with dedicated fraud detection modules, DTOs, validators, and service layer
PostgreSQL relational schema with normalized tables for all fraud detection entities
JWT + Google OAuth authentication with granular permission gates per role
Real-time Socket.IO events for live fraud detection status updates and notifications
Managed hosting with one-click deploy, custom domain, and auto-SSL
Database
PostgreSQL schema designed for Fraud Detection
ProjectCode generates a normalized, indexed PostgreSQL schema with the right tables and relationships for your use case. You own the schema and can evolve it freely.
- transactions (id, user_id, amount, type, ip, device_fingerprint, merchant, country, timestamp, risk_score, decision)
- fraud_rules (id, name, conditions jsonb, action, priority, is_active, workspace_id)
- fraud_cases (id, transaction_id, risk_score, signals jsonb, status, analyst_id, label, resolved_at)
- watchlists (id, name, type, entries jsonb, is_active, workspace_id)
-- Generated by ProjectCode -- Fraud Detection & Prevention Platform schema CREATE TABLE transactions__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE fraud_rules__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE fraud_cases__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE watchlists__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns );
Tech Stack
Production-ready from day one
Every generated app uses a battle-tested stack you can deploy anywhere and own completely.
Frontend
React 18 + TypeScript + Tailwind CSS
Backend
NestJS 10 + Node.js + TypeScript
Database
PostgreSQL (managed or Supabase)
Auth
Email OTP · Google OAuth · GitHub OAuth
Deployment
Managed hosting · Custom domain · Auto-SSL
AI Models
Claude Sonnet · Claude Opus · Kimi
Try It Now
Example prompt to get started
Copy this prompt into ProjectCode and get a working app in minutes.
Build a fraud detection platform for a payments processor handling 500,000 transactions per day. Include a real-time scoring engine with configurable rule sets, velocity checks per user and IP, device fingerprinting, watchlist screening against custom blacklists, an analyst case management interface for reviewing flagged transactions, a feedback loop for labeling false positives to improve model accuracy, and a dashboard showing fraud rate, false positive rate, and total losses prevented.
Deployment
Deploy your Fraud Detection anywhere
Managed hosting
One-click deploy to a live URL managed by ProjectCode.
Custom domain
Connect your own domain with auto-provisioned SSL via Cloudflare.
GitHub export
Push to your GitHub repo and self-host or deploy via Vercel, Railway, or AWS.
Docker ready
Export a Dockerfile and docker-compose for any containerized environment.
Pricing
Start free, scale as you grow
No per-seat fees. No vendor lock-in. Token-based pricing that scales with your usage.
Free
$0
Start building your first app. Live preview, managed hosting, and full code export included.
Token Packs
From $5
Purchase token packs that roll over every month. Build more, pay only for what you use.
Enterprise
Custom
Custom models, SLA, SSO, and private cloud deployment for large teams.
FAQ
Common questions about building a Fraud Detection
The rule engine is optimized for sub-100ms response time. Rules are loaded into memory and evaluated in-process. Complex ML scoring runs asynchronously and updates the risk score within 500ms.
Related
More apps you can build
Build your Fraud Detection in hours, not months
Start free. No credit card. Your first app is live in minutes.
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