JARVIS: Building an Agentic AI System for IoT Control

Building a system where AI doesn’t just respond — it acts. An AI agent that understands context, makes decisions, and controls connected devices just like JARVIS would.

That 10-year-old version of me who watched Iron Man and dreamed of having JARVIS just became reality.

The Vision

Imagine an AI system that:

• Understands your environment and context
• Makes intelligent decisions based on multiple factors
• Controls your smart home, IoT devices, and systems seamlessly
• Learns from your patterns and adapts over time

No more fragmented apps. No more clicking through interfaces. Just natural language commands that actually do things.

The Stack

Core Technologies:

• AI/LLM — Large language models for natural language understanding and decision-making
• Agent Framework — Agentic AI orchestration to handle complex workflows
• IoT Integration — Direct control over smart home devices and connected systems
• Speech Recognition & NLP — Open-source components to make this accessible to everyone

The Magic

The magic happens when the AI agent doesn’t just respond — it acts. It understands context, makes decisions, and controls connected devices just like JARVIS would.

And the best part? I’m open-sourcing the entire project because childhood dreams should be shared, not gatekept.

Resources

🔗 GitHub Repo: https://lnkd.in/det2BdPd 🎥 Demo Video: https://lnkd.in/gtsDFmfH

The Journey

That 10-year-old version of me would’ve absolutely lost it seeing this work.

This wasn’t just about building a project — it was about proving that childhood tech dreams are worth pursuing. That the things we dreamed about watching sci-fi movies can actually become reality with enough passion and code.

Your turn — what’s the childhood tech dream you’re ready to build?

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