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• Medical image analysis: Helps doctors find diseases by examining X-rays and scans.
                    • Automatic checkout in stores: Identifies products using cameras for faster billing.
                    • Traffic monitoring systems: Cameras detect and manage traffic flow to reduce jams.

                    • Security surveillance: Recognises unusual activities or people in restricted areas.
                    • Augmented  Reality  (AR)  games:  Detects  surroundings  to  blend  virtual  objects  into  real
                   world.


                 Natural Language Processing (NLP)

                 NLP lets computers understand human language—both the words we say and the ones we write.
                 It allows machines to talk, read, and answer questions just like people do.





























                 For example, when you ask Siri or Alexa “What’s the weather today?” they use NLP to understand
                 your question and give you an answer.

                 Some applications of NLP are as follows:
                    • Voice assistants: Like Siri or Alexa, they answer questions using spoken language.

                    • Chatbots: Online helpers that respond to customer questions instantly.
                    • Language translation apps: Translate text or speech from one language to another.
                    • Spam email filters: Sort emails and block unwanted spam messages.

                    • Voice-to-text conversion: Converts spoken words into written text on phones or computers.
                    • Sentiment analysis: Understands if a social media post or review is positive or negative.

                    • Autocorrect and spell-check: Suggests correct spellings while typing.


                 Statistical Data
                 AI also learns by looking at large amount of data and finding patterns. This helps AI make smart
                 decisions, predict what might happen next, and improve itself over time.





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