Offline AI Learning Engine Development

We are looking for an experienced AI development partner/team to build an Offline AI Learning Engine for deployment in Government school classrooms. The system will include: * AI Teaching Assistant (LLM-based) * RAG (Retrieval-Augmented Generation) using curriculum content * AI-based assessment and quiz generation * Teacher Copilot features * Offline-first deployment on local classroom systems * Central sync with Data Centre Scope of Work * Design and develop RAG-based AI system using provided educational content * Implement local AI model for offline usage * Fine-tune model for: - school-level explanations - bilingual support (English + regional language) - curriculum-bound responses * Build APIs and backend for integration with classroom system * Develop synchronization system (offline → central server) * Provide documentation and training Technical Requirements * Experience with LLMs (LLaMA, Mistral, etc.) * Experience with RAG frameworks (LangChain / LlamaIndex) * Vector databases (FAISS / Qdrant / Chroma) * Local AI deployment (Ollama / llama.cpp) * Python backend (FastAPI preferred) Deliverables * Fully functional AI engine (offline capable) * Documentation * Deployment support * Training for internal team Preferred Experience * EdTech AI systems * Multilingual AI systems * Offline AI deployments Engagement Type * Fixed cost / milestone-based * Long-term engagement possible