Here you can find various modules (coded in python) used to build SAHYA

Using the face_recognition library Sahya is able to finely recognize the people present in her dataset and greet them using text_to_speech module.

• face_recognition
• cv2
• os
  make sure you have the specified libraries installed to run the text_to_speech module which is mentioned in the speech folder.

Using the YOLO algorithm,(You only look once) which is an object detection system targeted for real-time processing, Sahya is able to detect objects using the pre-trained data.

      kindly look into the setup.md file for running the code smoothly

This folder consists of python codes to perform Text_to_Speech and Speech_to_Text operations.

Text to Speech :

• gTTS
• pyglet
• os

Speech to Text :

• SpeechRecognition

This code divides the live streaming into three different screens which shows the the Left, Center and Right perspective views.

• cv2
• numpy

Hearty thanks to all the coders and developers for their knowledge, help and support

made with ❤️ 👩🏻‍💻 👨🏽‍💻