QuizBatter

Inspiration

• End-of-lecture quizzes on Elearn.
• Shy students and introverts being unable to ask their questions for fear of public humiliation
• Teachers, lecturers and TAs wanting to better leverage student feedback and quiz results
• Other AI-native quiz generators and Virtual TAs

What it does

• All-in-one platform for both students and teachers
• Students can generate, view, rate and complete quizzes
• Teachers can manage and provide comprehensive feedback per AI-generated student responses and quiz data

How we built it

• ChatAndBuild
• Flask for backend
• Firebase Auth and No SQL database
• Nextjs, React, TailwindCSS
• Gemini-2.5-pro API

Challenges we ran into

• Git merge conflicts

Accomplishments that we're proud of

• Working together as a team and Delegate workflow
• Implement core functionality through MVP (quiz and report generator)
• Used Chatandbuild to develop our frontend
• Frontend hosted at dothack-hackathon-2025.vercel.app backend not hosted (demoed via localhost)

What we learned

• Git is so useful and important
• Balancing between functionality and feature bloat

What's next for QuizBatter

• Added functionality
  • Reports for students
  • Mobile app
  • Flashcards

Team work

1. Richard Lei: Backend, Direction and Vision
2. Gabriel Ong: Backend, Frontend
3. Arya Govind: Frontend, Pitch deck
4. Tan Le Xuan: Frontend, UI
5. Nichole Bun: Frontend, UX

Built With

• css
• javascript
• python