Inspiration
In today’s world, managing personal finances can be overwhelming, and the rise of cyber threats like phishing adds another layer of risk. We wanted to create a solution that empowers users to make smarter financial decisions while keeping their information safe, combining the power of Fintech, AI, and cybersecurity into one platform.
What it does
TRUSTID+ is an AI-powered personal financial advisor with built-in security features: • Analyzes bank account and spending data to provide personalized financial advice. • Detects phishing attempts in messages to protect users from scams. • Provides an interactive Flutter-based banking interface that simulates a real-world banking experience.
How we built it
• AI & Analytics: Used machine learning algorithms to generate tailored financial recommendations.
• Cybersecurity: Integrated phishing detection models to scan messages and identify threats.
• Flutter Interface: Developed a user-friendly, interactive prototype banking app for seamless interaction with advice and security features.
Challenges we ran into
• Integrating AI financial advice with real-time security detection was complex.
• Handling sensitive data securely while testing the banking interface posed design challenges.
• Creating a smooth and intuitive UI for multiple features in a single app required balancing functionality and usability.
Accomplishments that we're proud of
• Successfully combined AI, Fintech, and cybersecurity into a single platform.
• Developed a working prototype that simulates banking interactions.
• Built a phishing detection system that can identify suspicious messages in real time.
What we learned
How to integrate multiple domains (AI, cybersecurity, Fintech) into one cohesive project.
• The importance of user experience and security in financial applications.
• Practical experience in building a Flutter app and connecting it with backend AI models.
What's next for TRUSTID+
• Expand the AI advisor to provide investment and savings recommendations.
• Integrate with real banking APIs for live data access.
• Enhance the phishing detection system for higher accuracy and real-time alerts.
• Turn the prototype into a fully functional app ready for public testing and deployment.
