Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 462 · 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.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
2. 2.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 40 right and Model B got 39 right. How many percentage points more accurate is Model A?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
4. 4.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
5. 5.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
6. 6.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
7. 7.❌ Rohan’s spam spotter was tested on 32 new messages and got 28 right. How many did it get wrong?
8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
9. 9.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
10. 10.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
11. 11.🧪 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
12. 12.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
13. 13.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
14. 14.❌ Vihaan’s fruit sorter was tested on 30 new fruit photos and got 25 right. How many did it get wrong?
15. 15.📦 Meera collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Nisha’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
17. 17.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
18. 18.🎯 Arjun’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
19. 19.📦 Tara collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Aarav’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
22. 22.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
23. 23.📦 Arjun collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
25. 25.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
26. 26.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 28 right and Model B got 27 right. How many percentage points more accurate is Model A?
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
29. 29.❌ Rohan’s fruit sorter was tested on 31 new fruit photos and got 26 right. How many did it get wrong?
30. 30.❌ Arjun’s recycling sorter was tested on 13 new waste photos and got 12 right. How many did it get wrong?
31. 31.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 47 right and Model B got 32 right. How many percentage points more accurate is Model A?
32. 32.🎯 Kabir’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
34. 34.📦 Ananya collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Arjun’s spam spotter was tested on 39 new messages and got 35 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
37. 37.📦 Tara collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Saanvi’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
39. 39.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples

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