Vedixa: Offline Adaptive Tutoring via Separated Curriculum Processing and Runtime Interaction Using Local Language Models

Access to quality tutoring still remains out of reach for millions of students in rural schools, NGO programs, and low-resource educational settings in many parts of the world. Most AI tutoring systems require continuous internet access and cloud infrastructure conditions that simply do not exist in these environments. This paper describes Vedixa, an offline-first adaptive tutoring system built around a practical insight: curriculum processing and interaction with student can be separated in two