Sai Vignesh Goud Naragoni
Computer science
Hometown: Hyderabad, Telangana, India
Graduation date: Spring 2027
Additional details: First-generation college student, Honors student
FURI | Spring 2025
Evaluating Creativity and Novelty in LLM-generated Academic Assignment Creation for Digital Design Projects
The research evaluates the creativity and novelty of large language models (LLMs) like GPT-4o, Gemini, LLaMA 3.2, and DeepSeek in generating Capstone project prompts for EEE120 within synchronous finite state machine (FSM) constraints, such as Moore models with at least five states. Using previous semester projects as a baseline, the analysis applies cosine similarity to quantify uniqueness and qualitative metrics to judge creativity and logical consistency. Outputs from agentic retrieval-augmented generation (RAG) and non-RAG setups are compared to faculty designs. The effort seeks to advance engineering education by pinpointing LLMs that deliver diverse, innovative assignments upholding academic standards.
Mentor: Alicia Baumann
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