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    Starbucks introduced its chatbot, Starbucks Barista, in 2017, allowing customers to order drinks
                     through a conversational interface and make payments. They also launched the "Starbucks Reorder"
                     skill for Amazon Alexa, enabling users to place orders with a simple voice command.
                      In  2013,  TellSpec  developed  a handheld  scanner to analyze food at a molecular level. By using
                     chatbots, the scanner provides detailed information about food ingredients, helping users learn
                     more about what they’re consuming through their smartphones.
                                                                 Voice  Assistants:  Voice Assistants  are programs that
                                                                 understand  our voice commands and perform tasks
                                                                 accordingly. They use AI to recognise our voice commands.
                                                                 They can be found  on smart speakers, smartwatches,
                                                                 mobile phones, tablets and other devices. Alexa, Google
                                                                 Assistant, Cortana and  Siri are some very common
                                                                 examples of  voice assistants that are a major part of our
                                                                 digital devices. They use natural language processing in
                                                                 AI to interact with humans. They can make a phone call,
                  play music for you or search for some of your favourite foods or restaurants.

                       Entertainment Portals: AI  is significantly  enhancing
                     entertainment  portals, making  the  content  more
                     immersive and  engaging for users. Platforms like
                     YouTube, Hotstar and  Netflix  use AI  to provide  data-
                     intensive  and  personalized  experiences. These portals
                     recommend content  tailored  to  individual  preferences,
                     improving the viewing experience by suggesting movies,
                     shows and videos based on past behaviour and choices.
                      For example, Netflix's movie recommendation system
                     uses AI to suggest films that users are likely to enjoy. It tracks what you've watched and compares it
                     to similar users, continually refining recommendations as it learns from your activity. The more time
                     you spend on Netflix, the more relevant the suggestions become, ensuring a personalized viewing
                     experience.
                      Additionally, AI helps with auto-generation and personalisation of thumbnails or artwork for videos.
                     Using  thousands  of  video  frames, AI  generates thumbnails  that  are visually  appealing,  further
                     enhancing the user's experience with personalized visuals.

                                                                   Facial Recognition: Face Recognition is a technology
                                                                   that  is  used  to  identify  an  individual's  face. One
                                                                   of  the  most famous examples of  face recognition
                                                                   technology is the face lock on a smartphone. Cameras
                                                                   on smartphones these days can estimate the age of
                                                                   a person based on their facial features. This is neural
                                                                   networks at play-first differentiating the face from the
                                                                   background and then correlating the lines and spots
                                                                   on your face to a possible age. For example, Facebook
                                                                   uses  facial  recognition  powered  by  artificial  neural
                                                                   networks to suggest to you whom you should tag in
                                                                   the post.

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