Page 154 - Code_GPT_Class_8
P. 154
Computer Vision
Computer vision is a very important tool, and it helps us in many areas. For example, self-driving cars,
drones that can examine crop health, patient imaging and diagnostics, security, and surveillance. From
recognising to processing the live action of a football game, Computer Vision challenges and surpasses
human visual abilities in many areas. Let us understand some of the real-time uses of Computer Vision.
Self-driving cars use computer vision to examine their surroundings and plan their paths. Drones can
use computer vision to examine the health of crops and alert farmers about the crop's condition. In
the healthcare industry, computer vision can be used to check the patient's image and determine the
ailment. Computer Vision is also used for security and surveillance.
Natural Language Processing
Natural Language Processing (NLP) has become
an integral part of modern technology, enabling
computers to understand and interact with human
language. Applications of NLP are widespread,
ranging from virtual assistants like Siri and Alexa
to language translation services such as Google
Translate. In healthcare, NLP aids in processing
patient records and extracting key information,
while in business, it is used for sentiment analysis
to gauge customer opinions. Chatbots powered by NLP enhance customer service by providing instant,
human-like responses. Search engines also rely on NLP to deliver accurate results based on user
queries. In education, tools like Grammarly use NLP to improve writing quality. Social media platforms
deploy NLP to detect and filter harmful content. Additionally, NLP is used in legal technology to analyse
contracts and legal documents. With continuous advancements, NLP is transforming industries by
making data-driven insights more accessible.
Topic Flashback 21 st Century
Skills #Technology Literacy
Name any two domains of AI.
1. 2.
CodeGPT (Ver. 4.0)-VIII
152

