Inspiration
What it does
SCAMTRACE X – Project Report
SCAMTRACE X is an AI-powered fraud intelligence platform designed to help people identify potential online scams, phishing messages, suspicious links, and fraudulent communications.
Inspiration
The idea came from the increasing number of online scams and phishing attempts. Many people struggle to recognise fraudulent messages, especially when scammers use fear, urgency, and impersonation to manipulate them. I wanted to create a simple platform that uses AI to help people recognise these threats and make safer decisions.
How I Built It
I used Lovable to develop the frontend and create the platform's dashboard and user interface. I built the backend using Python and FastAPI and integrated Claude AI from Anthropic to analyse suspicious content, generate risk scores, identify warning signs, and provide safety recommendations. I deployed the backend using Render and connected it to the frontend through an API relay.
What I Learned
Through this project, I gained practical experience in AI integration, Python, FastAPI, frontend development, API communication, and deployment. I also learned more about phishing, cybersecurity, and social engineering. Most importantly, I learned how to turn an idea into a working prototype using different technologies.
Challenges Faced
My main challenges were connecting the frontend, backend, and AI API, configuring API keys and deployment, and making AI results understandable for users. Working with unfamiliar technologies and limited development time also required continuous learning, testing, and problem-solving.
Future Improvements and Conclusion
In the future, I aim to introduce screenshot analysis, a database for scam reports, and an intelligence network that connects suspicious URLs, phone numbers, and email addresses to identify possible scam campaigns.
Overall, SCAMTRACE X helped me apply AI to a real-world problem while improving my technical skills, creativity, and problem-solving abilities. It showed me how technology can be used to make online experiences safer for everyone.
