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2025

NORA

AI Student Success Platform

LangChainGemini 2.0Multi-AgentChromaDBRAGNext.js
Add a screenshot or 30–60s demo clip here/public/projects/nora/cover.png
Overview

NORA is an end-to-end AI advising platform for international students and their advisors. It pairs a dual-mode multi-agent pipeline with a retrieval layer grounded in official university policy, so answers about CPT/OPT, course planning, and program requirements are accurate rather than hallucinated.

What I built
  • Built a dual-mode LangChain multi-agent pipeline on Gemini 2.0 Flash, behind university login, that guides students through CPT/OPT, course planning, and program policy.
  • Grounded every answer in official university policy through a ChromaDB RAG layer, reaching 92% accuracy on a 50-question evaluation set.
  • Shipped a companion Chrome extension that surfaces inline guidance directly on university portals.
  • Designed the agent routing so advisor-facing and student-facing modes share retrieval but diverge on tone, permissions, and available tools.
Highlights
92%
Eval accuracy
50 Q
Eval set
Multi-agent
Agents
Tech
LangChainGemini 2.0Multi-AgentChromaDBRAGNext.js