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Zhiheng AI Teaching Assistant

AI Teaching Assistant for Morality & Rule of Law (Grades 7–9)

Overview​

Zhiheng is an AI-powered teaching assistant platform for middle school Morality & Rule of Law education, designed for border schools in Guangxi, China.

The system provides:

  • AI lesson plan generation — RAG-driven from digitized textbooks and school knowledge base
  • AI PPT generation — auto-create slides from lesson plans
  • Voice input & AI completion — minimal-input workflow with smart autocomplete
  • Mind map & blackboard design — auto-generate knowledge graphs and handwritten-style blackboard layouts
  • Exam point mapping — auto-connect knowledge points to curriculum standards and exam syllabi
  • Material archiving — export Word/PDF/ZIP with version control
  • Knowledge base — digitized 2026 edition textbooks, chunked and semantically tagged, with knowledge graph and RAG engine
  • Content audit — full logging, compliance tracking, and role-based permissions
  • Current affairs push — curated political and news content relevant to each lesson topic

Target Users​

Approximately 37 border schools in Guangxi (China–Vietnam border region), covering grades 7–9 with around 350 class hours of Morality & Rule of Law curriculum.

Tech Stack​

  • Backend: Python (FastAPI)
  • Frontend: React / Next.js (Docusaurus for docs)
  • LLM: Local fine-tuned model (Qwen3 series) via vLLM
  • RAG: Embedding service + vector database
  • Auth: JWT + bcrypt, role-based access control
  • Storage: S3 (zhiheng-806169617306 in ap-east-1)
  • Design System: DESIGN.md (Mintlify-inspired, Tailwind exported)

Project Structure​

zhiheng/
├── backend/              # FastAPI backend
├── frontend/             # React/Next.js frontend
├── rag/                  # RAG pipeline (textbook processing, knowledge graph)
├── agents/               # AI agents (lesson plan, PPT generation)
├── docs-site/            # This docs site (Docusaurus)
├── DESIGN.md             # Design system specification
└── DESIGN.tailwind.json  # Tailwind token export

Team​

TeamLead
LLM Training & Agent DevelopmentChi Yupeng, Tang Ba Minh
Course Teaching Material DevelopmentYe Haibo
AIGC Micro-Drama ProductionYang Yixin, Zeng Rou
VR/AR Immersive LearningShenzhen Huiying

Quick Start​

Backend​

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

Frontend​

cd frontend
npm install
npm run dev

Docs Site (this site)​

cd docs-site
npm install
npm run start