Class 7 AI | Unit 1: AI Domains & Applications
The 3 Pillars (Domains) of AI 🏛️
Just like we use our eyes, ears, and brain to learn, AI uses three different Domains to understand the world. Let's break them down:
1. Data Science (Numbers & Patterns) 📊
What it is: AI that looks at large amounts of numbers and data to find hidden patterns and predict the future.
Daily Example: Weather Apps. The AI looks at data from the last 10 years to predict if it will rain in Hyderabad tomorrow.
Learning Focus: Even with Small Datasets, AI can find trends if the data is high quality!
2. Computer Vision (Eyes of the Machine) 👁️
What it is: Helping machines "see" and identify objects, people, or places in photos and videos.
Daily Example: Face Unlock on your phone or Self-Driving Cars that recognize traffic lights.
🌟 Activity Link: Google Emoji Scavenger Hunt
(Use your camera to find objects in your house that match the emoji!)
3. Natural Language Processing - NLP (Language) 🗣️
What it is: Teaching machines to understand, talk, and write in human languages (like Hindi, English, or Telugu).
Daily Example: Google Translate or Siri/Alexa answering your questions.
🌟 Activity Link: Semantris (NLP Word Association Game)
(Type words that the AI associates with given terms to see NLP in action!)
What are Predictive Techniques? 🔮
Predictive techniques are the "math" AI uses to guess what happens next. For example, if you buy a cricket bat online, the AI predicts you might also want a cricket ball.
Official Resources
Download the official Class 7 Facilitator Manual to explore these domains in detail:
Download Class 7 AI Handbook (PDF)
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