Page 120 - AI Ver 3.0 Class 11
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c.   Computer Vision: Computer Vision deals with visual data inputs, mainly images and videos. It enables computers
                 to interpret and understand visual information, performing tasks like object detection, image classification, facial
                 recognition, and scene understanding. Practical applications include self-driving cars that use computer vision
                 to navigate roads safely, medical imaging systems that help doctors diagnose diseases from X-rays or MRIs, and
                 social media platforms that use facial recognition to tag people in photos automatically.


                                                                                       #Digital Literacy
                          Video Session

                     Watch Computer Vision Explained in 5 Minutes | AI Explained -
                     https://www.youtube.com/watch?v=puB-4LuRNys&t=86s








                               Task                                                   #Collaboration and Teamwork



                   Divide the students into groups and provide them with a list of real-world applications without specifying
                   which domain each application belongs to. Ask each group to categorise the applications into the three
                   domains: Data science, Natural Language Processing (NLP), and Computer vision.   CBSE Handbook
                   1.  Gesture recognition for human-computer interaction
                   2.  Chatbots for customer service
                   3.  Spam email detection
                   4.  Autonomous drones for surveillance
                   5.  Google Translate
                   6.  Fraud detection in financial transactions
                   7.  Augmented reality applications (e.g., Snapchat filters)
                   8.  Sports analytics for performance optimisation
                   9.  Object detection in autonomous vehicles

                   10. Recommendation systems for e-commerce platforms
                   11. Customer segmentation for targeted marketing
                   12.  Text summarisation for news articles
                   13.  Automated subtitles for videos
                   14.  Medical image diagnosis
                   15. Stock prediction




                      Data Science

              Data is raw information, including facts, statistics, opinions, or any recorded content, such as voices, photos, names,
              and even dance moves. It surrounds us and influences our experiences, decisions, and interactions. For example:
                 • Your search recommendations and Google Maps history are based on your previous data.
                 • Amazon’s personalised recommendations are influenced by your shopping habits.
                 • Social media activity, cloud storage, and textbooks are all forms of data.

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