OIAI Tutor, The World's First AI Digital Human Teacher
Flagship project: Led development of OIAI Tutor, an AI digital human teacher adopted by 200k+ learners across UK, Africa, and South Asia, improving learning engagement and democratizing access to quality education.
- Architecture
- Engineering
Otermans Institute
Multi-cycle
Problem: Education scalability and personalization challenges. Traditional teaching models couldn't scale to provide personalized instruction for every learner, especially in underserved regions.
AI Approach: Built the world's first AI digital human teacher using specialized LLMs (OIMISA-7B) fine-tuned for educational contexts. Implemented LangChain for agentic workflows, enabling AI agents that teach, question, and test learners with adaptive difficulty.
Architecture: Core AI engine with fine-tuned LLMs → Agentic AI orchestration (LangChain) → Vector DBs for knowledge retrieval → OCR and document processing pipelines → Real-time reporting and analytics → Edge AI for low-latency interactions → Multi-region deployment infrastructure
Impact: 200,000+ active learners across UK, Africa, and South Asia • Hyper-personalized learning experiences at scale • Real-time reporting to parents and teachers • Improved learning engagement metrics • Democratized access to quality education through AI technology
Tech Used
Process Followed
Initiated with requirements gathering for AI-powered educational platform serving diverse global markets. Designed and developed the core AI teacher engine using LangChain for agentic workflows and orchestration. Fine-tuned specialized LLMs including OIMISA-7B for educational content generation and personalized instruction. Implemented OCR and document processing pipelines for curriculum ingestion and content creation. Built NLP systems for natural language understanding, question generation, and student response evaluation. Developed Vector DB infrastructure for semantic search and knowledge retrieval in educational contexts. Integrated Edge AI capabilities for low-latency interactions and offline functionality. Created agentic AI systems that teach, question, and test learners with adaptive difficulty. Built reporting and analytics systems for teachers and parents with real-time insights. Implemented learning scaffold mechanisms to address individual student needs and knowledge gaps. Conducted extensive testing with 200k+ students across multiple regions and languages. Deployed scalable infrastructure to support global user base with high availability.
Delivered in Time
3+ years (Mar 2021 - May 2024)
