Large lecture environments create several challenges for both students and professors:

• ❌ Limited student-professor communication
• ❌ Unaddressed student questions
• ❌ Professors unable to gauge class understanding
• ❌ Intrusive or disruptive questioning
• ❌ Busy interfaces distracting students
• ❌ Selective filtering of questions by professors

Existing approaches often fall short:

• 📢 Open Q&A sessions can be disruptive
• 📝 Digital platforms lack automation and intelligence
• ⚡ Students still struggle with real-time clarifications

We introduce an AI-powered assistant to revolutionize classroom engagement!

• ✅ Slide Presentation Suite - Enhanced lecture delivery
• ✅ Live AI-Powered Q&A - Questions answered in real-time for review
• ✅ Student Feedback Analytics - Insights into understanding per slide
• ✅ Comprehensive Analytics - Track student comprehension trends

• ✅ AI-Assisted Q&A - Automated responses referencing lecture materials
• ✅ RAG-Enhanced Model - Reducing hallucinations in AI-generated answers
• ✅ One-Click Feedback - Instant feedback for clarity

🔬 Reference: Béchard & Ayala, 2024, "Reducing Hallucination in Structured Outputs via Retrieval-Augmented Generation" (arXiv)

• 🛠 Currently using a weaker GenAI model due to resource constraints
• 🔄 While RAG improves accuracy, hallucinations cannot be fully eliminated
• 📊 AI highlights frequently asked questions, but human moderation is still needed

• ✨ Teacher Assistant Mode: Allows TAs to flag and refine AI responses
• 🎥 Demo & Q&A: Upcoming showcase of the system in action!

👩‍💻 Built for TartanHacks 2025 | Enhancing education through AI-powered automation