AI-Powered UPI Fraud Shield: Real-Time Detection System for Secure Transactions

Overview

This best Python project leverages state-of-the-art machine learning to detect fraudulent Unified Payments Interface (UPI) transactions in real time. Designed as a robust final year project, it combines Flask backend, interactive frontend, and a powerful Random Forest Classifier trained on over 6.3 million transaction records. Ideal for engineering students looking for unique projects for final year students in Computer Science, Data Science, or Cybersecurity.

Key Features

• ✅ Real-Time Fraud Detection: Analyzes live transaction patterns instantly.
• ✅ 99%+ Accuracy: Achieved via Random Forest model fine-tuned on massive datasets.
• ✅ Advanced AI Algorithm: Trained on 6.3M+ real-world UPI transaction records.
• ✅ Modern Cybersecurity UI: Dark-themed dashboard with Chart.js visualizations.
• ✅ Detailed Analytics Dashboard: Shows fraud probability, confidence score & insights.
• ✅ Responsive Design: Fully mobile-friendly and cross-browser compatible.
• ✅ Secure API Endpoints: Encrypted inputs, validation, and anomaly detection.

📊 Dataset & Model Performance

The system uses a comprehensive dataset of 6,362,621 transaction records with 11 key features including:

• Transaction Type (Payment/Transfer/Cash-out)
• Amount Transferred
• Origin & Destination Account Balances (Before/After)
• Time Step (Simulated Timeline)
• Fraud Label (Binary Classification)

Model Metrics:

Training Accuracy	99.2%
Testing Accuracy	98.9%
Algorithm Used	Random Forest Classifier

🔧 Technology Stack

Backend: Python 3.8+, Flask, Scikit-learn, Pandas, NumPy

Frontend: HTML5, CSS3, JavaScript, jQuery, Bootstrap 5, Chart.js, Font Awesome

ML Pipeline: Feature Engineering, StandardScaler, Train/Test Split (80/20), Model Persistence

🎓 Applications & Use Cases

• Banking & Fintech security monitoring systems
• Final year projects for B.Tech / MCA / BCA / Diploma students
• Academic research in AI-driven financial crime prevention
• Integration into digital wallet platforms for added safety
• Capstone project for data science and machine learning courses

This is one of the best python projects for those interested in merging finance with artificial intelligence — making it an ideal choice among final year college projects.

💡 Why Choose This Project?

Perfect for students who want a professional-grade, deployable, and presentation-ready final year project with full source code, documentation, and explanation support.

Add-ons available: Project Setup | Source Code Explanation | Complete Project Report