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I built my own JARVIS — meet CYBER, my personal AI assistant

I built my own JARVIS — meet CYBER, my personal AI assistant

Creating a Personal AI Assistant: Introducing CYBER, Your Customized JARVIS

In the rapidly advancing world of artificial intelligence, personal assistants are becoming increasingly sophisticated and accessible. After months of dedication and development, I am excited to share my latest project: CYBER, a fully functional AI assistant inspired by the iconic JARVIS from the Iron Man universe. CYBER integrates modern UI design with cutting-edge AI capabilities, offering a versatile tool for productivity, system management, and user engagement.

Overview of CYBER

CYBER is a custom-built AI assistant that combines natural language understanding, voice recognition, visual analysis, and system control, all integrated into an intuitive interface. Leveraging Gemini AI as its core engine, CYBER offers a seamless experience with multiple interaction modes and extensive functionality.

Key Features

Voice Activation and Natural Interaction
CYBER responds to the wake-word “Hey CYBER”, allowing hands-free activation. Users can engage via voice or text, with the assistant maintaining context-aware conversations for a natural dialogue experience.

Vision Mode with Webcam Integration
Using the device’s webcam, CYBER can perform image analysis tasks—such as identifying objects or interpreting visual data—enhancing its versatility beyond simple text or voice commands.

AI-Powered Command Execution
One of CYBER’s most powerful capabilities is translating user commands into executable code. For example, asking, “Show me my network usage,” prompts CYBER to generate and run Python scripts that retrieve real-time system metrics.

Utility Tools and Integrations
CYBER features a suite of handy tools, including weather updates via OpenWeatherMap, PDF analysis, YouTube content summarization, system monitoring, and more. These tools allow users to extend the assistant’s functionality based on their needs.

Modern User Interface
The assistant boasts a sleek, customizable UI complete with thematic options and animated elements, ensuring a polished user experience accessible directly through the browser.

In-Browser Operation with Backend Support
While the frontend is built with HTML, JavaScript, and Tailwind CSS, the backend runs on Python, utilizing the Gemini API for advanced AI interactions. This setup enables complex tasks like app launching and system control to be executed dynamically.

Technical Stack

  • Frontend: HTML, JavaScript, Tailwind CSS
  • Backend: Python (integrated with Gemini AI API)
  • APIs and Data Services: OpenWeatherMap, Mapbox, YouTube

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