Education AI / Local AI / NLP / LLMs
Every academic answer, grounded in the real regulations.
A local AI academic assistant for University of Bisha students, designed to answer questions based on official academic regulations, procedures, and documents.
Evidence
See the code and verify the work yourself — nothing here is a claim you have to take on faith.
University students often struggle to access accurate academic information because regulations, procedures, and announcements are distributed across multiple sources. Answers may differ depending on who students ask, while students need fast, clear, and reliable guidance.
ChatUB was designed as a local AI academic assistant for University of Bisha students. Instead of giving generic answers, it uses official university academic content to provide context-aware responses aligned with real regulations and procedures.
Project Leader
ChatUB demonstrated how AI can support university students when it is designed around context, privacy, and trusted information sources.
My role
Responsibilities focused on shaping the solution, connecting technical choices to user needs, and helping move the idea into a coherent working concept.
Technical architecture
Each case study is grounded in a practical technical approach, from local AI knowledge design to cloud-native analysis and behavioral analytics.
Student question
01NLP intent
02Retrieve official docs
03Grounded answer
04Engineering notes
Decisions
The choices that mattered most — and the thinking behind each one.
I made the call to run ChatUB as a local AI system so student data and university content stay on-prem. Privacy and institutional trust mattered more than the convenience of a hosted model.
Answers are generated from the university's real regulations and procedures — not generic knowledge — so a student gets the same reliable guidance no matter who they ask.
Key features
Impact
ChatUB demonstrated how AI can support university students when it is designed around context, privacy, and trusted information sources.
Real innovation starts when technology respects context, privacy, and real human needs.
Inside the product
A handcrafted preview of the experience — drawn to show the idea, not a stock screenshot.
Local-first
Runs on-prem for data privacy
Project Lead
Led the graduation team
Official sources
Grounded, not generic answers
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