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    Topic Flashback

                            Name any two uses of computer vision in real life.

                     Natural Language Processing (NLP)

                     Natural Language Processing or NLP, is the domain of AI that enables
                     communication between  humans  and machines. It understands  and
                     works with human languages, such as English, Hindi, and French, and

                     can read, write, translate, and respond like a person. In short, we can
                     say that Natural Language Processing teaches computers to talk and
                     understand human languages just as we do.

                     NLP assists computers in understanding the meaning and context of
                     written or spoken language. This includes recognising words, phrases, and their relationships. It helps

                     generate human-like text or speech, ranging from a summary of an article to creating a conversation.
                     Applications of NLP

                     NLP can be used for the following applications:
                     Voice assistants

                     AI  is  used  in  voice  assistants like  Siri,  Alexa,  and  Google  Assistant.
                     These assistants are capable of understanding  spoken language,

                     interpreting commands, and providing relevant responses or actions.
                     The  AI  continuously  learns  from user  interactions  to  improve  its
                     performance over time.

                                                      Language translation

                                                      Tools like Google Translate use AI to convert text or speech from one
                                                      language to another. These tools help people communicate across
                                                      language barriers, making it easier to understand foreign languages
                                                      in real-time.

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