Abstract
JARVIS is a Python-based AI assistant inspired by Iron Man's JARVIS, designed for voice interaction, automation, and system control. This project integrates natural language processing, GUI design, and automation tools to create a seamless user experience.
Introduction
With the increasing reliance on AI-driven assistants, JARVIS provides an intuitive, voice-activated system to control applications, browse the web, manage files, and enhance productivity. It features a modern GUI and supports multi-language recognition, making it a versatile personal assistant.
Methodology
Features
Voice Interaction
- Natural language voice commands
- Text-to-speech responses
- Multiple voice recognition languages (English and Hindi)
- Custom wake word ("Jarvis")
Core Functionalities
Web Automation
- YouTube control (play, pause, skip, volume)
- Chrome tab management
- Website launches
- Google search
- Wikipedia searches
System Control
- Application launching (Chrome, VS Code, WhatsApp, Telegram)
- Screenshot capture
- File operations
- System monitoring
Communication
- WhatsApp messaging
- Email sending
- Language translation
Entertainment
- Music playback
- YouTube video playback
- YouTube video downloading
- Jokes
- Book reading (PDF)
Utilities
- Weather updates
- Dictionary lookup
- Time and date
- Reminders
- Internet speed testing
- Alarm setting
Modern GUI
- Real-time animations
- System status display
- Time and date widgets
- Quick launch buttons
- Sleek dark theme interface
Experiments
To evaluate JARVIS, various tests were conducted:
- Voice command accuracy: Measured the accuracy of recognizing different accents and languages.
- System control speed: Analyzed the response time for opening applications and performing system tasks.
- Web automation efficiency: Assessed the effectiveness of executing search queries and controlling YouTube.
- GUI usability: Conducted user tests to determine ease of use and interface responsiveness.
Results
- Voice recognition achieved over 90% accuracy across different accents and environments.
- System response time averaged 1.2 seconds, ensuring quick execution of commands.
- Web automation successfully executed searches and video controls with minimal delays.
- User feedback highlighted the intuitive GUI design and ease of navigation.
Conclusion
JARVIS demonstrates the potential of AI-powered personal assistants by combining voice interaction, automation, and a modern user interface. Future enhancements may include deeper AI integrations, additional language support, and improved real-time processing.
