Inspiration: We were inspired during one of the talks to implement Google's Studio AI into our code to make it run in an efficient way.
What it does: The tool is meant for cybersecurity students, both undergraduate and graduate level, to further their educational understanding of the material in their syllabi by making a teaching, quizzing, and project roadmap. Input is given into Gemini AI to create a roadmap, educational content, quizzes, and projects tailored specifically to cybersecurity students.
How we built it: We used Google AI Studio for prompt engineering, written in HTML, JSON, CSS, TSX, and TS. We used React as a UI software framework. Implemented code into VS Code.
Challenges we ran into: Issues with the .env and css files within the repo, specifically with API calls and syntax errors. Issues with Google fonts.
Accomplishments that we're proud of: The deployment of a web application. This is pretty much everyone's first hackathon.
What we learned: Learned more about VS Code, debugging, node.js, AI-assisted development, prompt engineering/troubleshooting, and teamwork delegation.
What's next for SyllabiShield: Increased accuracy, expanded scope in educational content. Improved layout/design over time to make it more efficient for the students.
Log in or sign up for Devpost to join the conversation.