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CHITRANSH

India’s most valuable frontline knowledge often lives in people not in manuals.

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Records expert demonstrations as structured workflows, then runs them on-device with a small model that defers when visual evidence is uncertain.

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India’s most valuable frontline knowledge often lives in people not in manuals. In small factories, warehouses, retail stores, farms, and field-service teams, experienced workers know how to handle exceptions when a process breaks. But this knowledge is usually passed verbally, across languages, and is lost when the expert is unavailable. Poor connectivity, high data costs, and privacy concerns make cloud-dependent AI unreliable for these environments. Kriya solves this by turning human demonstrations into local AI agents. Using Gemini Live, an expert teaches a task through live camera, voice, natural interruptions, and multilingual conversation. Kriya converts the demonstration into a structured workflow. Gemma 4 E2B then runs the agent entirely on-device. It maintains task state, checks visual evidence, detects failures, and defers when it is uncertain. When a human demonstrates a rescue, Kriya converts that intervention into an approved Recovery Patch and stores it locally. The next time the same failure occurs, the agent reuses that experience offline. Kriya preserves India’s undocumented knowledge and makes it reusable across languages, locations, and low-connectivity environments.
the-forgotten-polymath/GDH-Chitransh★ 00 forksCreated Jul 11, 2026 · last push Jul 11, 2026

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