Studie Boi — Offline AI Educational Intelligence
Offline AI educational intelligence platform & Android app for African curricula
About
Studie Boi is a fully engineered, tested, and verified AI Educational Intelligence Platform and native Android Application built specifically for African secondary and tertiary curricula (JAMB UTME, WAEC, NECO, and University 100L–500L).Unlike cloud-dependent LLM wrappers that generate high monthly API bills ($10k–$30k/month) and suffer from connectivity failures in emerging markets, Studie Boi enforces Zero-LLM State Authority:• 100% Deterministic & Offline: All Bayesian Knowledge Tracing, Ebbinghaus exponential memory decay math, and curriculum prerequisite DAG reasoning execute locally in pure Python on-device.• $0 Cloud Inference Cost: Operates with zero external API dependencies and zero recurring cloud inference bills.• Airplane Mode Ready: The native Android application (Kotlin + Jetpack Compose + Chaquopy) executes completely offline.KEY ASSETS INCLUDED:1. Core Intelligence Engine (src/studie_boi/): Pure Python architecture modeling Bayesian mastery, Ebbinghaus decay, prerequisite DAGs, and pedagogical realization.2. Native Android Application (android/): Native Kotlin app built with Jetpack Compose Material 3 and embedded Chaquopy Python runtime.3. Automated Content Validation Pipeline: 7-rule deterministic quality linter, SHA-256 asset provenance registry, and deduplication engine.4. Demonstration Question Corpus: 100 author-authored items across Mathematics, Physics, Chemistry, Biology, and Use of English with complete misconception tags and Bloom taxonomy levels (ready to scale to 50,000+ items).5. Comprehensive Test & Diligence Suite: 4,064+ passing automated tests, static AST zero-egress security audit, and 14-document Virtual Data Room (VDR).AVAILABLE TRANSACTION MODELS:• Outright IP & Full Codebase Buyout• Software Asset Purchase• Exclusive Commercial License• OEM Core Engine SDK Integration• Publisher White-Label CBT Platform
Comments (1)
offline is key for that market. pricing?
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