I will build a graph based fraud detection web application with ml

V
vedangi26
V
vedangi26
VedangiKulkarni

About this gig

Looking for a professional Fraud Detection Web Application powered by Machine Learning?

I will develop a modern Graph-Based Fraud Detection Dashboard using Python, Flask, Machine Learning, NetworkX, and Plotly to help identify suspicious financial transactions through interactive visualization and intelligent analytics.

What you'll get:

Interactive Fraud Detection Dashboard

Graph-based transaction visualization

Machine Learning fraud prediction using Random Forest

CSV dataset support

Transaction analytics and reports

Fraud risk scoring

Interactive graphs with hover tooltips

Responsive and clean user interface

Source code included

Well-structured and documented project

Technologies Used

Python

Flask

Machine Learning (Random Forest)

NetworkX

Plotly

HTML, CSS & JavaScript

Ideal For

Banking applications

Financial analytics

Fraud detection systems

Academic and research projects

Final year projects

Machine Learning demonstrations

Business dashboards

Why choose me?

Clean and maintainable code

Professional UI/UX

On-time delivery

Custom feature development

Regular project updates

Post-delivery support

If you have custom requirements or would like additional features, feel free to contact me

Get to know VedangiKulkarni

VedangiKulkarni

Python Developer AI and Machine Learning Enthusiast

  • FromIndia
  • Member sinceJun 2026
  • Avg. response time2 hours
  • Last delivery3 weeks
  • Languages

    English, Marathi, Hindi
Hi, I'm Vedangi, a Computer Engineering student and Python developer. I build web applications, automation tools, AI-powered solutions, and custom software using Python, Flask, HTML, CSS, and JavaScript. I have experience developing ATS Resume Screening Systems, PDF parsers, data-driven applications, and machine learning projects. My focus is delivering clean, efficient, and user-friendly solutions with quality code, clear communication, and timely delivery.