E-Fraud Detection
Machine Learning Computer Science Engineering Major

E-Fraud Detection

E-Fraud Detection System is an intelligent digital platform designed to identify and control fraudulent online activities. The system allows users to report fraud cases with relevant details and evidence, while the admin panel provides tools for reviewing, verifying, and managing reported incidents.

The backend, developed in Python, handles data processing and analysis, while the React.js frontend ensures a modern and user-friendly interface. Using MySQL for secure data storage, the platform provides advanced analytics and visualization features to detect fraud patterns and enhance decision-making for authorities and organizations.

Key Benefits:

  • Early detection of fraudulent activities.
  • Centralized and secure database for all reports.
  • Real-time monitoring and trend analysis.
  • User-friendly reporting and admin interfaces.
  • Scalable architecture suitable for institutions and organizations.


Project Screenshots
Screenshot
Screenshot
Technologies Used
React js Flask MySQL Python
Key Features
  • Track Case Status
  • Fraud Categorization
  • Dashboard Analytics
  • Responsive Web Design
  • AI Analytics
What You Get
Source Code
Video
Screenshots
Installation File
Database File
Requirements
  • VS Code
  • Pycharm
  • Xampp
  • MySQL
₹5999.00
One-time payment
Buy Now
Delivery: Instant Download
Support: 1 Month Free
Updates: Lifetime

Related Projects

No related projects found.