Welcome to the Virtual Assistant project! This Python-based virtual assistant leverages various libraries, including OpenCV, PyWhatKit, PyAudio, and more, to perform face detection, object detection, automated email generation, and playing music on YouTube. This README file provides essential information to get you started and use the virtual assistant effectively.
Face Detection: The virtual assistant can detect faces in images and videos using the OpenCV library. This feature enhances the security and interaction capabilities of the assistant.
Object Detection: Utilizing OpenCV's object detection capabilities, the virtual assistant can identify and classify objects in images or video streams. This is useful for a variety of applications, including surveillance and analysis.
Automated Email Generation: The virtual assistant can compose and send emails automatically using the PyWhatKit library. This feature is handy for sending predefined messages or automated responses.
Playing Music on YouTube: With the help of PyWhatKit and other libraries, the virtual assistant can search for and play music on YouTube. Users can specify their preferences or choose from predefined playlists.
Before using the virtual assistant, ensure you have the following prerequisites installed: Python 3.x Required libraries (install using pip install -r requirements.txt): OpenCV PyWhatKit PyAudio Other necessary libraries
Activate face detection by specifying the appropriate command or trigger phrase. The virtual assistant will use the device's camera or process a specified image or video file.
Use the command or trigger phrase to initiate object detection. The assistant will analyze the input image or video stream and provide information about detected objects.
Provide input or specify triggers to compose and send emails automatically.
Request music playback by providing the song name, artist, or genre. The assistant will use PyWhatKit to search for the music on YouTube and play it.
Feel free to customize the virtual assistant to suit your needs. You can modify the behavior, add new features, or integrate additional libraries as required.
Contributions are welcome! If you find bugs or want to add new features, please open an issue or submit a pull request.