UPI Fraud Detection Using Machine Learning | End-to-End Python Project | Source Code | Tutorial

UPI Guard - A Real-time UPI Fraud Detection system using Convolutional Neural Network Get this Project : https://www.ieeexpert.com/ieee-python-projects-2021-2022-machine_learning-project-titles/ 🔍Implementation: Python with Flask. 🧠Algorithm / Model Used: Convolutional Neural network 🎯Web Framework: HTML,CSS,JS. ABSTRACT This project introduces "UPIGUARD", an intelligent real-time fraud detection system for UPI transactions. Powered by a Convolutional Neural Network (CNN), the system analyzes transactional and user-behavior data to predict fraudulent activity with high accuracy. A Flask-based web interface allows users to securely make transactions while the model evaluates risk behind the scenes. The application integrates with live data inputs like time, location, and user profile parameters to assess risk and block potentially fraudulent transactions instantly. More Projects - https://www.ieeexpert.com/ieee-python-projects-2021-2022-machine_learning-project-titles/ Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= Base Paper Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Online Execution Support Addons Video Tutorials Supporting Softwares 📌 Key Topics Covered: • Real-world UPI fraud detection system using Machine Learning (ML). • Step-by-step build of an end-to-end ML project in Python. • Google Pay scam awareness & techniques to identify phishing/fraud. • Complete source code for replication (GitHub link below). • Final year project ideas for Computer Science students. • Unique academic project implementation with industry relevance. ⚙️ Project Highlights: • Algorithm Used: Logistic Regression, Random Forest & Neural Networks. • Dataset: Real transaction data (simulated for privacy) with fraud labels. • Tools: Python, Scikit-Learn, Tensorflow, Pandas, NumPy, Flask (for UI demo). 🎓 Perfect For: • Final year projects (CSE/IT students). • Machine learning enthusiasts building portfolios. • Developers combatting digital payment fraud. • Educators teaching ML in Python. 📂 Resources & Links: • Source Code (GitHub): https://www.ieeexpert.com/ieee-python-projects-2021-2022-machine_learning-project-titles/ • Dataset & PPT: https://www.ieeexpert.com/ieee-python-projects-2021-2022-machine_learning-project-titles/ • ML Cheat Sheet: https://www.ieeexpert.com/ieee-python-projects-2021-2022-machine_learning-project-titles/ UPIFraud #MachineLearning #FinalYearProject #PythonProjects #FraudDetection #ComputerScience #TechWithTim #AcademicProject #LearnPython #Fintech 🙏 Thanks for watching! Like, share, and comment if you’d like a tutorial on integrating this with WhatsApp alerts! ________________________________________ 💡 Why This Project? • Unique & Industry-Relevant: Stand out in academic reviews. • Scalable: Add UPI APIs for real-time monitoring. • Easy Customization: Modify features (location, transaction limits). • Comprehensive Guide: From data preprocessing to deployment. ________________________________________ 🚀 Boost Your Skills: • Learn ML model deployment. • Master Python for data science. • Understand fraud analytics in fintech. • Create a job-ready portfolio piece. ________________________________________ 📢 Subscribe for More! New to Tech With Tim-style ML projects? Hit Subscribe for: • End-to-end machine learning projects in Python. • Final year project tips & ideas. • Source code for academic/industry projects. 🔔 Turn on notifications! � Keywords: Telangana UPI Fraud, UPI Fraud Detection, Google Pay Scam Awareness, Machine Learning Projects Python, Final Year Projects CSE, Academic Projects, End-to-End ML Project, Fraud Detection System, Computer Science Project Ideas, Tech With Tim Machine Learning, ML Project Source Code, Unique Final Year Projects, Python Fraud Detection

Added 29 Jun 2026