The Project aims to build a system to capture emotions using Python libraries. The model will be able to recognize different emotions such as anger, joy, surprise, fear and sadness. The detection will be based on different facial expressions such as lowered eyebrow, wide eyes, dropped jaw, etc.
This Project will use NLP for speech interpretation. You will be able to create an intelligent responsive chatbot that uses voice to interact with users. Python 3 provides Speech Recognition library that assists that using Google’s speech recognition API to convert speech into text and vice versa.
This Project will be built using AI. You will be able to build a sign detector, which detects the universal sign language including numbers, characters, also other signs and hand gestures using python libraries such as OpenCV and Keras.
This Project will use different techniques of Deep learning. Some of the generally used libraries and softwares of deep learning for object recognition include ImageAI, Single Shot Detectors, YOLO (You Only Look Once), and Region-based Convolutional Neural Networks.