AURA

Aura is a sophisticated AI-driven assistant developed specifically for the Adamas University student body. Utilizing Retrieval-Augmented Generation (RAG), Aura can process vast amounts of university-specific documentation—from academic handbooks to administrative policies—and provide instant, accurate answers to student queries.

The project involved building a custom vector database to store university knowledge and implementing a conversational UI that feels natural and helpful. Aura significantly reduces the administrative burden on university staff by automating the resolution of common student issues. This project highlights my expertise in LLM fine-tuning, vector search, and creating practical AI solutions for complex institutional environments.