AI CASE STUDY
Lumo Sage: AI Assistant
A personalized learning companion that adapts to student needs using RAG (Retrieval-Augmented Generation).
Impact
Helped 500+ students improve test scores by an average of 22%.
Technologies
Next.jsSupabaseVector DBLLMs
Role
Lead Engineer
The Challenge
Students often feel overwhelmed by generic educational content that doesn't address their specific knowledge gaps.
My Approach
Used Vector embeddings and RAG to allow students to query their specific course materials with AI context.
The Result
High engagement rates and significant improvements in learning retention across pilot groups.