Case study · Fake Profile Detection System
AuraVerify
A behavioural-analysis system designed to identify suspicious or fake profiles.
Illustrative interface, not a screenshot.
- Type
- Team project led by the founder
- Role
- Project Lead of a technical team of three
- Status
- Team project
- Technology
- Java, Spring Boot, Python, Flask
Overview
A fraudulent-profile detection system built on behavioural analysis, led by Om Langade as Project Lead of a technical team of three.
The problem
Fake profiles erode trust on platforms that depend on real users, and they are hard to spot one by one.
Our approach
Behavioural signals are analysed to flag suspicious profiles, with the work organised through the full software development lifecycle.
What was built
- Behavioural-analysis detection system
- Backend services in Java and Spring Boot with Python and Flask components
- SDLC activities, development and testing
- Technical documentation