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💡 The Vision: Redefining "Smart" Home

We don't need another remote control app. We need a home that thinks.

In traditional IoT, the human is the manager. In YES Ai Studio, the AI is the manager. This project creates a Fully Autonomous Loop where a Multi-Agent AI System doesn't just generate content—it makes physical decisions based on its own quality standards.

"We moved the 'Decision Logic' from the Cloud Server to the Generative Agent."

🤖 System Architecture (The Logic Flow)

The core of this project is a Tri-Agent Workflow powered by Google Gemini 2.5 Flash, orchestrated via Python to control Tuya IoT Devices.

1. The Brain (Gemini Agents)

• 🧭 Navigator Agent: Scans trends and plans the roadmap.
• 🎨 Curator Agent: Writes the creative content (Blog/Script).
• ⚖️ Evaluator Agent: The "Judge." It reviews the Curator's work and assigns a Quality Score (0-10).

2. The Bridge (Logic Gate)

The system uses a mathematical threshold to trigger physical actions: $$Action = \begin{cases} \text{🟢 Turn ON Studio Lights}, & \text{if Score} \ge 8 \ \text{🔴 Turn OFF (Power Save)}, & \text{if Score} < 8 \end{cases}$$

3. The Body (Tuya IoT Cloud)

Unlike simple API calls, we implemented an Asynchronous Command Handler to ensure the physical switch responds instantly to the AI's verdict.

🛠️ Tech Stack

💻 Code & Implementation

We have open-sourced the entire agentic workflow. The code is modular, separating the Reasoning Layer from the Hardware Layer.

Key Feature Snippet:

This function connects the AI's "feeling" (score) to the real world:

def trigger_physical_world(score):
    """
    Decides physical state based on AI evaluation.
    """
    if score >= 8:
        print(f"🚀 Score {score}/10: EXCELLENT. Studio Lights ON.")
        tuya_device.send_command({'switch_led': True})
    else:
        print(f"⚠️ Score {score}/10: AVERAGE. Saving Energy.")
        tuya_device.send_command({'switch_led': False})

Built With

• generative-ai
• google-gemini
• iot
• kaggle
• python
• smart-home
• tuya