Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 415 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
2. 2.❌ Nisha’s fruit sorter was tested on 20 new fruit photos and got 17 right. How many did it get wrong?
3. 3.❌ Vihaan’s spam spotter was tested on 26 new messages and got 23 right. How many did it get wrong?
4. 4.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
5. 5.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
6. 6.❌ Rohan’s spam spotter was tested on 44 new messages and got 41 right. How many did it get wrong?
7. 7.📦 Tara collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
9. 9.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
11. 11.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
12. 12.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
13. 13.📦 Saanvi collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
15. 15.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
16. 16.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
18. 18.📦 Aarav collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📦 Aarav collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
22. 22.📦 Ananya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Vihaan’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
24. 24.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
25. 25.❌ Diya’s leaf identifier was tested on 17 new leaf photos and got 12 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
27. 27.❌ Tara’s bird-song app was tested on 49 new bird songs and got 43 right. How many did it get wrong?
28. 28.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
29. 29.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
30. 30.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
31. 31.❌ Diya’s spam spotter was tested on 31 new messages and got 25 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
33. 33.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
34. 34.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
35. 35.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
37. 37.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
38. 38.🎯 Rohan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
39. 39.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model

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