Jarvis Mark-3

Jarvis Mark-3 is a personal assistant system that combines voice recognition, face recognition, web search, jokes, music playback, and more. It uses IBM Watson for text-to-speech and conversation, OpenCV for face recognition, and various APIs for weather and jokes.

Features

• Voice command recognition (speech-to-text)
• Text-to-speech responses (IBM Watson)
• Wikipedia and web search
• Weather information (OpenWeatherMap)
• Jokes (pyjokes)
• YouTube music playback
• Face recognition and training (OpenCV)
• Multi-threaded: runs face recognition and assistant loop in parallel

Setup

1. Install dependencies:
   • pip install -r requirements.txt (see below for main packages)
2. Set up API keys as environment variables:
   • IBM_TTS_API_KEY, IBM_TTS_URL (IBM Watson Text-to-Speech)
   • IBM_ASSISTANT_API_KEY, IBM_ASSISTANT_URL, IBM_ASSISTANT_ID (IBM Watson Assistant)
   • OPENWEATHER_API_KEY (OpenWeatherMap)
3. Download required Haar cascades (e.g., haarcascade_frontalface_default.xml) and place in the project directory
4. Run the assistant: python jarvis.py

Usage

• Speak commands after the assistant is listening
• Supported commands: play music, tell a joke, get weather, Wikipedia search, date/time, etc.
• Face recognition runs in parallel for user identification

Security Notes

• Do not hardcode API keys in the code. Use environment variables or a config file excluded from version control.
• Webcam and microphone access are required; use with trusted hardware only.

Main Dependencies

• opencv-python, pytube, pafy, pyjokes, mutagen, speechrecognition, ibm-watson, beeply, numpy, Pillow, pyautogui, requests, bs4

Author

Rithik (2026)

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This is a fallback and experimental version of the Jarvis personal assistant system.