AI Tutor Platform

Context

An AI tutor that turns uploaded study materials into a grounded learning experience. The system ingests documents, chunks and embeds the content, retrieves relevant passages, and uses them to support tutoring conversations and mock-exam generation.

Role and scope

AI engineer: designed the document ingestion, retrieval, tutoring, and mock-exam generation workflow.

Challenge

Learners need answers grounded in their own study materials rather than generic responses, along with a way to turn those materials into practice questions and mock exams.

Approach: Designed an ingestion-to-retrieval pipeline covering document processing, chunking, embeddings, vector search, grounded tutoring, and mock-exam generation.

Key decisions and trade-offs

• Used retrieval-augmented generation so answers can be grounded in uploaded materials.
• Separated ingestion, retrieval, tutoring, and exam generation so each stage can be tested independently.
• Kept the source material central to the experience so learners can connect answers back to their study context.

Outcome

• Provides grounded tutoring from user-supplied study materials.
• Converts uploaded content into retrieval-ready knowledge for questions and explanations.
• Generates mock exams from the same source material used for tutoring.

Stack

Stack used in this system · AI engineer