AIPLI Hub: A Server-Free Adaptive EdTech Platform Bridging the Learning Equity Gap in Underserved Communities

Learners in Low- and Middle-Income Countries (LMICs) remain excluded from adaptive personalized learning because existing platforms require server infrastructure, stable internet, and English-language proficiency — conditions absent in most underserved schools. This paper introduces AIPLI Hub, a fully browser-native, server-free adaptive learning platform combining Bayesian Knowledge Tracing (BKT) for real-time knowledge state estimation, Gardner’s Multiple Intelligence (MI) theory for modality personalization, Explainable AI (XAI) for transparent decision-making, and an IndexedDB persistence layer for offline operation. Expert Delphi validation (n=15) achieved ≥80% consensus on all framework statements; simulation across four benchmark datasets confirmed 90%+ adaptive path consistency and BKT F1-score of 84.9%; a pilot deployment logged 191 sessions across eight multilingual students achieving a 70% class average. AIPLI Hub provides a zero-cost, zero-infrastructure, SDG 4-aligned adaptive learning system deployable immediately in any LMIC school environment.