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


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
Python Developer AI and Machine Learning Enthusiast
- FromIndia
- Member sinceJun 2026
- Avg. response time2 hours
- Last delivery3 weeks
Languages
English, Marathi, Hindi
FAQ
Q1. Can you customize the dashboard?
A: Yes. I can customize the dashboard, UI, analytics, reports, and ML features according to your requirements.
Q2. Can you use my own dataset?
A: Yes. I can integrate your CSV or database and train the model using your data if required.
Q3. Which technologies do you use?
A: Python, Flask, Machine Learning (Random Forest), NetworkX, Plotly, HTML, CSS, and JavaScript.
Q4. Will I receive the source code?
A: Yes. All packages include the complete source code.
Q5. Can you deploy the application?
A: Yes. I can deploy it on Render, Railway, Azure, AWS, or another platform based on your requirements.

