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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