Class 7
The Class 7 book

How AI Makes Predictions

6 units · 26 lessons · a project to end every unit, and one for the year

Open any lesson to read it the way a student does — one step at a time. Nothing you do here is saved; students work in their own accounts, where their missions, guesses and Checks are kept.

0
Unit 0

Refresher

1 lesson
  1. 0.1Back at the laptopFour months away from the keyboard. Where was F? Where was J? Your fingers remember more than you think.40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
1
Unit 1

Three techniques

5 lessons
  1. 1.1Classification: which basket?Uncle sorts a thousand apples without looking up. "Thirty years of apples taught me." Thirty years of examples — that's how AI learns to sort.40 minVideo3 laptop missionsPictureDebateCheck · 4 questions
  2. 1.2Regression: predicting a numberEvery month from January to June got warmer. So July will be hotter still… and December? A trend line says 56 °C.40 minVideo3 laptop missionsPictureDebateCheck · 4 questions
  3. 1.3Clustering: finding groups nobody labelledA crate of mixed apples, labels lost. Nobody knows which is which. Hiba finds three groups anyway — and so can a machine.40 minVideo3 laptop missionsPictureDebateCheck · 4 questions
  4. 1.4Training and testing: keep some backBilal memorised last year's paper: 100% at home. New questions in the real exam: 41%. Machines make the very same mistake.40 minVideo3 laptop missionsPictureDebateCheck · 5 questions
  5. 1.5Which technique fits?Milk tomorrow, a saffron flower ready to pick, villages grouped by crop. Three great ideas — and three different techniques.40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  6. Unit projectThe mystery dataset
2
Unit 2

Domains of AI

5 lessons
  1. 2.1Data science — from numbers to a decisionSnow for three days. "Half the class stayed home again!" Did they really? The answer is already sitting in the register.40 minVideo3 laptop missionsPictureDebateCheck · 4 questions
  2. 2.2Computer vision — how a machine "sees"The phone looks at Grandmother's kangri and says: pot. It has no eyes and no brain. So how does it see anything at all?40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  3. 2.3Natural language processing — how machines handle wordsThe phone translates the guest's message into Urdu and Hindi — but not into Kashmiri, the language Grandmother speaks. Why?40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  4. 2.4Chatbots, image recognition and translationA tourist points her camera, types a question, speaks into a translator — three apps in two minutes. Are they all the same AI?40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  5. 2.5Map the domainsFifteen AI things for a science-fair poster. Where does a self-driving car go — vision, or data? Maybe both.40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  6. Unit projectAn AI helper for our school
3
Unit 3

AI at work

5 lessons
  1. 3.1AI in healthcareSnow has closed the road from Kupwara. Grandmother still sees a specialist in Srinagar — through a screen, with a computer helping the doctor.40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  2. 3.2AI in agriculture: orchards and saffronUncle lost part of his crop to scab last year. Now an AI claims it can spot scab before he can. What if it calls a healthy leaf sick?40 minVideo3 laptop missionsPictureDebateCheck · 5 questions
  3. 3.3AI in education: help or cheating?Winter break. Bilal's cousin types the essay question and the AI writes the essay: full marks. Hiba's app gives her a new question every time she's wrong. Only one of them learned.40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  4. 3.4AI in transport and communicationThe highway's closed near Ramban. A text says you won ₹50,000 — and the phone has already binned it as spam. Two jobs AI does millions of times a day.40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  5. 3.5Advantages, and what it costs"AI will take everyone's jobs." "No machine knots a carpet like my hands." "AI brought us bookings." "The app costs money." All four are right.40 minVideoLaptop missionPictureDebateCheck · 4 questions
  6. Unit projectThe valley case study
4
Unit 4

Data visualisation

5 lessons
  1. 4.1Structured and unstructured dataA notebook of trips, 900 photos, 40 voice notes, a few reviews. Which one tells Uncle his busiest month? One takes two minutes. One takes two weeks.40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  2. 4.2Collecting data honestlyAre students on time in winter? Ask them, watch the gate, read a thermometer, or check the gate scanner. Four ways to collect data — which one do you trust?40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  3. 4.3Preparing dataThe Chillai Kalan log is a mess: a day written twice, a day left blank, "lots" instead of a number, dates all jumbled. You can't chart that — yet.40 minVideo3 laptop missionsPictureDebateCheck · 4 questions
  4. 4.4Bar, line and pie chartsSame numbers, two charts. Bilal's pie looks like a broken wheel. Hiba's line climbs, peaks in summer and rises again for Gulmarg snow. Different chart, different story.40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  5. 4.5Accuracy, precision, and charts that lieThe new scale says 18.245 kg, 18.247 kg — so exact! Hiba puts a 5 kg bag of rice on it: 5.812 kg. Exact, and wrong.40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  6. Unit projectOne honest chart
5
Unit 5

Bias and citizenship

5 lessons
  1. 5.1What is bias?The app is "95% correct". It calls a scabbed Ambri leaf healthy. It wasn't lying — it had just never seen a Kashmir sky.40 minVideo2 laptop missionsPictureDebateCheck · 4 questions
  2. 5.2Three kinds of bias"Set an alarm for fajr." "Sorry, I didn't catch that." Hiba's cousin from Delhi says the same words — the phone answers at once. Which kind of bias is it?40 minVideoLaptop missionPictureDebateCheck · 4 questions
  3. 5.3Human in the loopThe program puts Bilal on the extra-coaching list. His teacher knows something the program doesn't: the road was shut by snow for two weeks.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  4. 5.4Consent, privacy, transparencyFree tablets for a month! Page 4, tiny print: "voice recordings and camera images may be… shared with partners". If you can't understand it, did you really agree?40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  5. 5.5Good digital citizensEleven laughing faces under an edited photo of Aamir. Nobody says anything. Hiba types "lol" — then stops. Saying nothing would be a twelfth laugh.40 minVideo3 laptop missionsPictureDebateCheck · 5 questions
  6. Unit projectThe fair-AI check-up
Year projectPredict itHide part of your data. Learn the pattern from the rest. Predict what you hid — then find out exactly how far off you were, and why.