The Feminine Intelligence Agency (FIA) is building a peer-led, event-based cybersecurity system designed to empower women and non-technical users with the skills to protect themselves from common digital threats—including surveillance, stalking, and social engineering. We’ve already completed foundational research, built a prototype assessment, and identified core vulnerabilities based on real-world risks.

Your task: Help transform our research and early prototypes into a polished, working system that’s ready for pilot testing. You’ll collaborate with FIA to design educational modules, finalize the scoring logic, and implement the backend logic or technical processes needed to bring the event to life.

🎯 Goals for the Project:

• Refine and finalize FIA’s digital risk assessment questionnaire (already drafted).
• Build a modular education system that maps risk scores to actionable content.
• Create booth-matching logic, guiding participants to specific learning stations.
• Polish post-event score adjustments, measuring user improvement.
• Package all materials in a clean, usable format for a future pilot event.

FIA has already completed the core research, draft content, and prototype logic—your role is to bring it to life, fill in the missing pieces, and make it usable for a real-world pilot.

Each student (or team) will choose focus areas based on interest and skills:

• ✅ Polished cybersecurity training modules, adapted from FIA’s existing drafts and research-based outlines.
• ✅ Finalized and testable quiz logic, scoring framework, and booth-matching system—based on FIA’s draft models and peer-reviewed feedback.
• ✅ Clear event flow documentation and step-by-step support materials for volunteer facilitators and participants.
• ✅ A simple working prototype of the tech stack (e.g., Jotform, Google Forms, or a lightweight app) to simulate the full user experience.
• ✅ User-friendly instructional materials, tailored for non-technical users who may be volunteering or attending a cybersecurity event for the first time.