Inspiration
Cekiceki was created in response to the alarming rise of online fraud. Every day, people lose money to phishing attacks, fake job offers, investment scams, impersonation schemes, and fraudulent marketplace listings.
Many victims often have doubts before engaging — a message feels suspicious, a deal looks too good to be true — but they lack a fast and reliable way to verify it.
We built Cekiceki to give people a simple tool to check first and act later. Our mission is to help prevent fraud before it happens.
What It Does
Cekiceki is a fraud detection platform that helps users quickly assess whether something might be a scam.
Users can:
Enter a phone number, URL, bank account number, username, or suspicious message
Receive an instant fraud risk assessment (Low, Medium, or High Risk)
View community-generated reports related to the input
Submit fraud reports to warn others
Access insights into common fraud patterns
The goal is simple: Stop fraud before it causes harm.
How We Built It
Cekiceki was designed with simplicity, speed, and scalability in mind.
Frontend: Built with React for a responsive and user-friendly interface
Backend: Node.js and Express to manage APIs and fraud detection logic
Database: MongoDB / Firebase to store reports, risk scores, and historical data
Fraud Detection Engine: A rule-based scoring system that analyzes suspicious keywords, abnormal number patterns, risky URL structures, and community reports
Cloud Deployment: Hosted on a scalable cloud infrastructure to ensure availability and performance
The architecture is modular, allowing future integration of machine learning models to improve detection accuracy.
Challenges We Ran Into
Fraud methods constantly evolve, making detection difficult
Avoiding false positives while maintaining strong protection
Designing a transparent and fair risk scoring system
Preventing misuse of the community reporting feature
Balancing accuracy, speed, and trust was one of our biggest challenges.
Accomplishments That We’re Proud Of
Successfully building a functional fraud risk scoring system
Creating an intuitive interface accessible to non-technical users
Implementing real-time risk analysis
Developing a community-driven fraud reporting system
What We Learned
Fraud prevention requires continuous updates and adaptation
User trust is essential in security-focused products
Simplicity improves adoption
Early user feedback significantly strengthens system accuracy
What’s Next for Cekiceki
AI-powered message and content analysis
A browser extension for real-time website fraud detection
A verified fraud database of phone numbers, accounts, and domains
Partnerships with anti-fraud communities and organizations
A mobile application for iOS and Android
Our vision is to make Cekiceki the first safety check people use before sending money, clicking a link, or trusting an unknown contact.
Built With
- elevenlabs
- figma
- gemini
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