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Shyamli Khadse
Shyamli Khadse

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The Future of Hyper-Local AI

Building "Aamchi Guide" was more than just a coding exercise; it was an exploration into how Agentic Workflows can bridge the gap between global AI models and local cultural nuances. By utilizing Kiro’s context-injection capabilities, I was able to transform a generic chatbot into a street-smart Mumbai companion that understands not just the geography of the city, but its "vibe."

The true power of this project lies in its Complex Intent Orchestration. By teaching the AI to parse multiple needs—like hunger, location, and fatigue—simultaneously, we move closer to a future where AI feels less like a search engine and more like a helpful local friend. Whether it's guiding a tired traveler to a Marine Drive sunset or providing a Marathi lifeline in a medical emergency, "Aamchi Guide" proves that grounding AI in regional context is the key to building technology that truly serves India’s diverse population.

As we move forward in the AI for Bharat journey, the lesson is clear: Context is King. When we combine sophisticated logic with local heart, we create tools that don't just provide data—they provide solutions.

check out my project on github:https://github.com/kshyamli/aamchi-mumbai-guide/tree/main

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