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This Repo contains code, data and models for Face Mask Detection. It uses TensorFlow and OpenCV to process video frames, detect faces, and predict whether a mask is being worn or not. The script also interacts with a door automation controller based on the mask detection results.

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Mini Alexa - Voice Assistant

Mini Alexa is a voice-activated assistant that can perform various tasks such as playing songs on YouTube, telling jokes, searching on Wikipedia, telling the date and time, finding your location, locating areas on maps, and opening different websites like Instagram, YouTube, Gmail, GitHub, Stack Overflow, and Google.

Installation

To run Mini Alexa, you need to install the following Python libraries:

  • speech_recognition
  • pyttsx3
  • pywhatkit
  • wikipedia
  • pyjokes

Included as part of Python Standard Library, so they don't need to be installed with pip.

  • datetime
  • webbrowser

You can install these libraries using pip:

pip install requirements.txt

Usage

To start Mini Alexa, run the MiniAlexa.py file in Jupyter Notebook. Mini Alexa will start listening for your commands. Here are some commands you can use:

  • "Hello": Mini Alexa will greet you.
  • "Who are you": Mini Alexa will introduce itself.
  • "Can you do": Mini Alexa will tell you what it can do.
  • "Play [song name]": Mini Alexa will play the song on YouTube.
  • "Date and time": Mini Alexa will tell you the current date and time.
  • "Tell me about [topic]": Mini Alexa will search the topic on Wikipedia and tell you about it.
  • "Joke": Mini Alexa will tell you a joke.
  • "Search [query]": Mini Alexa will search the query on Google.
  • "My location": Mini Alexa will find your location on Google Maps.
  • "Locate [place]": Mini Alexa will locate the place on Google Maps.
  • "Open [website]": Mini Alexa will open the website.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Contact

If you want to contact me, you can reach me at [email protected].

License

MIT

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This Repo contains code, data and models for Face Mask Detection. It uses TensorFlow and OpenCV to process video frames, detect faces, and predict whether a mask is being worn or not. The script also interacts with a door automation controller based on the mask detection results.

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