AZM Labs2026In Development
EEE AI Bot / EE Grid AI
Electrical engineering AI assistant with retrieval, cited answers, and review workflows.
- Role
- Applied AI Engineer
- Work track
- AZM Labs
- Category
- Applied AI Systems
Context and problem
EEE learners need reliable technical answers grounded in uploaded materials, formulas, and reviewed explanations.
Execution and contribution
Developed a RAG-oriented assistant concept with document ingestion, retrieval, cited responses, bilingual learning support, and admin review workflows.
Outcomes and proof
Recorded results and supplied evidence from the work.
- 01
- RAG workflow
- 02
- Cited answers
- 03
- Admin review
- Connected AI generation with educational review controls.
- Structured retrieval-first answer workflows.
- Mapped product-ready AI learning features.
- Demonstrates full-stack AI system design for engineering education.
- Applied AI systems engineering with retrieval architecture, explainability, and user-facing workflow design.
Available evidence
- Ingestion-to-retrieval-to-answer architecture
- Source citation response behavior
Gallery and evidence
RAG Retrieval Workflow and supplied project material.
Technical record
Stack
- Next.js
- TypeScript
- RAG
- Embeddings
- Vector Search
Focus
- AZM Labs
- Applied AI
- RAG
- Education
Resources
Related work
More records from the same work track or technical category.
