The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Developed a machine learning model to detect fraudulent credit card transactions using Python and Scikit-learn. Performed data preprocessing, feature engineering, model training, and evaluation to improve fraud detection accuracy. Built a reliable solution for identifying suspicious transactions.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Trending
Claude
Claude has entered the design space. How are you using Claude Design?
Contra University
Learn from expert creatives how to earn more using next-gen AI tools.
creativeaiflow
Creative AI workflows are evolving. What tools do you use, and what are their strengths and weaknesses?
freelancerlife
Freelancer life is wins, pivots, and everything in between. What’s yours right now?
Related posts
Talon Audit — a privacy-first website exposure and remediation platform
I built Talon Audit to solve a problem most website tools handle badly: they detect issues, but rarely help teams understand what matters, what to fix first, or whether the fix actually worked.
Talon analyses public-facing websites across four connected domains:
Exposure — browser protections, cookies, scripts, TLS, and visible configuration risks
Integrity — broken resources, routes, errors, forms, and reliability regressions
Experience — accessibility, mobile usability, speed, and interaction friction
Conversion — messaging, trust signals, pricing paths, forms, and calls to action
The product follows a complete improvement workflow:
Detect → Explain → Fix → Verify → Monitor
Every finding is structured around evidence, severity, confidence, impact, remediation guidance, and a verification method.
I led the project from strategy to launch, including:
product positioning and methodology
UX/UI and design system
full-stack implementation
AI-assisted analysis and remediation workflows
privacy and security boundaries
pricing, demo experience, and launch
Talon performs passive, low-impact analysis only. It does not exploit systems or claim to replace authorised penetration testing.
Built through a terminal-first AI-native workflow using Codex 5.5 and Claude Fable.
Live product: talonaudit.com
Role: Product Strategy, Product Design, Full-Stack Development, AI Development
Structuring findings around evidence, severity, and verification methods makes remediation so much clearer. How are you handling false positives during passive analysis?
Designed a clean and modern Finance Mobile App.
Beautiful gradient UI with seamless money transfer flow, balance overview, favorite recipients, recent transactions, and smooth payment experience.
project link: https://app.flowstep.ai/file?activeFileId=c8f98ac8-2246-4a9b-a7fb-4447863cc4d7
linkedin post link: https://www.linkedin.com/posts/christa-maria-el-hage-34901127b_flowstepchallenge-ugcPost-7485658897421238273-OWL0/?utm_source=share&utm_medium=member_ios&rcm=ACoAAEQqyakBs9q6sTNWuVY-vt7pjEQqhDaCeUk
ReturnEasy is an AI-powered purchase management platform that helps users organize online orders, track return deadlines, monitor refunds, and manage warranties in one place. I built it because online shopping has become easier, but managing receipts, return policies, and refunds is still frustrating and time-consuming. ReturnEasy gives users a smarter way to protect their purchases and never miss important deadlines again.
#flowstepchallenge
