Juvenotes is a real-time AI-driven pipeline that automates the transformation of academic documents into structured exam-style question banks, optimized for low-resource medical education settings in Kenya. The system combines Azure Document Intelligence for OCR and Azure AI Foundry (OpenAI o3-mini) for question and answer generation in a microservices architecture, with a Vue/TypeScript frontend and AdonisJS backend. Mobile-first design, bandwidth-sensitive interfaces, institutional tagging, and offline features address local challenges. Piloted over seven months at Kenyan medical institutions, Juvenotes reduced content curation time from days to minutes and increased daily active users by 40%. Ninety percent of students reported improved study experiences. Key challenges included intermittent connectivity and AI-generated errors, highlighting the need for offline sync and human validation. Juvenotes shows that AI automation with contextual UX can enhance access to quality study materials in low-resource settings.

翻译：Juvenotes 是一个实时AI驱动管道，能够将学术文档自动转化为结构化考试风格题库，并针对肯尼亚低资源医学教育环境进行优化。该系统采用微服务架构，结合Azure Document Intelligence进行OCR识别，并利用Azure AI Foundry（OpenAI o3-mini）生成问题与答案，前端采用Vue/TypeScript，后端基于AdonisJS。通过移动优先设计、带宽敏感界面、机构标记以及离线功能，该系统有效应对了当地挑战。在肯尼亚医疗机构为期七个月的试点中，Juvenotes将内容整理时间从数天缩短至数分钟，日活跃用户数增长40%。90%的学生报告学习体验得到改善。主要挑战包括间歇性网络连接和AI生成错误，这凸显了离线同步与人工验证的必要性。Juvenotes表明，结合情境化用户体验的AI自动化能够有效提升低资源环境下优质学习材料的可及性。