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Built an AI-powered Bengali question-answering system that retrieves information from a Bengali book and generates context-aware answers using RAG, embeddings, vector search, and an LLM.
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Resolve: an AI support agent that answers from a company’s own policies, looks up orders, and escalates weak matches to a human instead of guessing. A human approves replies before they go out.
Live demo: support-resolver.vercel.app
For the human approval step, I'd show the exact policy passage and its effective date beside the draft. Does Resolve flag a reply for re-review if the policy changes while it waits for approval?
An AI agent answers questions from real store data. A check layer blocks numbers that AI makes up.
For that check layer, I'd include a test where the answer uses a real store number with the wrong metric or date range. How do you tie each numerical claim back to the source result and its filters?
BENGAL WORKFORCE — Fictional Archive of Modern Labour (Company School Style)
01 / Fictional Archive
What if a British Company School artist in 1820s Patna documented today's Bengal?
I built a fictional archive that reimagines modern professions — barber with trimmer, tea-seller, delivery man — as flat-wash gouache studies on aged paper.
Why I built it:
Colonial Company School paintings preserved everyday workers, not kings. I wanted to continue that lineage for our time. I trained a Recraft Style on Patna Company School occupational studies [1800-1899] to keep the same faded beige paper, soft outlines, and minimal wash.
From Archive to Imagination: 10 studies of modern life.
Each figure holds the tool of their trade, like the original Lucknow attendant with slippers. All sources are Public Domain, secular, pre-1931.
Built with Recraft Style + Grok Imagine motion reference.:
