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    Medical imaging:  Computer  vision  helps  doctors  analyse
                        X-rays, CT scans and MRIs to detect medical conditions like
                        tumours,  fractures or abnormalities,  making  diagnostics
                        faster and more accurate.

                                                       Autonomous vehicles: Self-driving cars rely on computer vision
                                                       to understand their surroundings. This includes detecting objects
                                                       like traffic lights, pedestrians, other vehicles and road conditions,
                                                       allowing the car to navigate safely without human intervention.

                         Optical Character Recognition (OCR): OCR uses computer vision to
                        extract text from scanned documents, images or even handwritten                  OCR
                        notes, enabling users to edit or search the text digitally. This technology

                        is used in applications like Google Docs and Adobe Acrobat.

                           Tick ( ) if you know this.
                           ▶  NLP helps bridge the gap between human communication and computer understanding.
                           ▶   Computer vision enables machines to understand images, objects and actions, mimicking
                              human vision.

                                                                                                         21 st   #Communication
                                                                                                      Century
                                                               Self Reflection                          Skills  #Social Interaction
                        Rahul feels discouraged after seeing others’ AI achievements. How can friends motivate him to stay positive
                                                               Self Reflection
                        and grow his skills in AI and data science?

                             Hashtag

                           #Raw data: Unprocessed data that needs cleaning and organising before analysis.
                           #Machine Learning (ML): A type of AI that allows systems to learn and improve from experience without
                           being explicitly programmed.
                           #Sensors: Devices that detect and measure physical properties like temperature, motion or light and
                           convert them into data.

                      132   Computer Science (V5.0)-VII

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