Quan Ton

AuraLens is an end-to-end multimodal AI lifestyle platform for Gen Z that turns outfit check-ins into curated real-world experiences. Powered by Google Gemini Multimodal Vision, Spatio-Temporal Weather Grounding, and a Generative AI Photobooth Studio.

Personal portfolio website for Bennedict Quan Ton — Aspiring Agentic AI Engineer and undergraduate @ UTS & HCMUT. The site showcases projects, education, career journey, and personal interests, with a focus on agentic workflows, multi-agent systems, RAG pipelines, and high-performance AI engineering.

Personal README profile highlighting my latest AI, data, and full-stack engineering projects.

Multi-agent AI counselor for HCMUT admissions, by chat and voice. Every answer is grounded in official data: figures come from typed SQL tables, policy from hybrid retrieval, and a deterministic verifier checks each number before it reaches the student.

A public-benefits-style application form that a screen-reader user, motor-impaired user, or non-native English speaker can complete entirely by talking to their AI agent — because the page itself declares real, callable actions via WebMCP, instead of the agent guessing at a UI it can't reliably see.

AegisMCP is a CLI-first, air-gapped-by-default multi-agent workspace for private financial documents. PDFs stay on your machine. Agents talk to tools only through an allowlisted gateway. Outputs are typed RiskReport JSON + Markdown — with evidence citations — not free-form chat spam.