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README.md
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This is a demo of an AI agent designed to assist industries and service providers in understanding and interpreting their operational metrics. The agent has access to real-time telemetry data that measures quality, downtime, and operational performance.
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<source src="https://huggingface.co/spaces/Agents-MCP-Hackathon/IndustryMind-AI/blob/main/EfficiencyAgent.mp4" type="video/mp4">
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</video>
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> #### Demo Usage
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This is a demo of an AI agent designed to assist industries and service providers in understanding and interpreting their operational metrics. The agent has access to real-time telemetry data that measures quality, downtime, and operational performance.
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[See video overview](https://drive.google.com/file/d/1Bv1uF3-4EeR1HePSafZN1yzInr7YcQXZ/view?usp=share_link)
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> #### Demo Usage
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app.py
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The agent is implemented using **Mistral AI** via the `mistral-large-2411` LLM. Its capabilities have been enhanced with a chain-of-thought reasoning process, allowing it to `think`, `act`, `observe`, and `respond` effectively to user queries. The agent is presented through a **Gradio interface**, which is well-suited for both real-time visualization and LLM interaction.
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## Purposes
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The agent is implemented using **Mistral AI** via the `mistral-large-2411` LLM. Its capabilities have been enhanced with a chain-of-thought reasoning process, allowing it to `think`, `act`, `observe`, and `respond` effectively to user queries. The agent is presented through a **Gradio interface**, which is well-suited for both real-time visualization and LLM interaction.
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[See video overview](https://drive.google.com/file/d/1Bv1uF3-4EeR1HePSafZN1yzInr7YcQXZ/view?usp=share_link)
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## Purposes
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