🛡️ Client Risk Analyzer

A full-stack web application that allows users to upload a CSV of client transactions, analyze potential risks, and identify high-risk clients based on transaction amounts.

🚀 Features

• 📁 CSV Upload for transaction data
• 📊 Risk detection based on transaction amount
• 📧 Email alerts for high-risk clients
• 📈 Dashboard showing all and high-risk clients
• 🛠️ Built with React, Node.js, Express, and CSV parser

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📂 Project Structure

ClientRiskAnalyzer/
├── server/                # Node.js + Express backend
│   └── index.js           # Upload logic & risk analysis
├── client-risk-analyzer/  # React frontend
│   └── src/
│       └── App.js         # Main frontend logic
├── sample-clients.csv     # Example CSV for testing

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🧪 Sample CSV Format

name,amount
Client A,5000
Client B,12000
Client C,8000
Client D,20000

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🛠 Tech Stack

• Frontend: React, Axios, Tailwind CSS (optional styling)
• Backend: Node.js, Express, Multer, CSV-Parser, Nodemailer
• Deployment: Vercel (frontend) + Render (backend)

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⚙️ Local Setup

Backend (Node.js)

cd server
npm install express cors multer csv-parser nodemailer
node index.js

✏️ Replace your Gmail credentials in index.js with real ones using App Passwords

Frontend (React)

cd client-risk-analyzer
npm install
npm start

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🌍 Deployment

🔹 Frontend (Vercel)

1. Go to vercel.com
2. Import GitHub repo → Select client-risk-analyzer folder as root
3. Deploy

🔹 Backend (Render)

1. Go to render.com
2. Create new web service → Connect GitHub repo → Choose server folder
3. Set build command: npm install
4. Set start command: node index.js
5. Add environment variable for email config if needed

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📧 Email Alerts

• Configured to notify via Gmail when high-risk clients (amount > 10,000) are detected
• Setup via Nodemailer in the backend

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🎯 Why This Project?

This project demonstrates:

• Real-world business logic
• Consulting-style analysis
• Data parsing, processing & alerting
• Full-stack deployment experience

Perfect for roles in:

• Tech Consulting
• Data Analytics
• Full-Stack Development

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✨ Author

Shahid Afridi

📫 LinkedIn | 🌐 GitHub

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📝 License

MIT

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