Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 827 · 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.🎯 Nisha’s handwriting reader is 80% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
2. 2.📦 Kabir collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.❌ Rohan’s leaf identifier was tested on 23 new leaf photos and got 19 right. How many did it get wrong?
4. 4.📋 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
5. 5.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
6. 6.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
7. 7.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
8. 8.📦 Kabir collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
10. 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
11. 11.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
12. 12.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
13. 13.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
15. 15.📦 Rohan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.❌ Ishaan’s leaf identifier was tested on 41 new leaf photos and got 36 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
18. 18.📦 Ananya collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
21. 21.📦 Aarav collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
23. 23.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
24. 24.🎯 Meera’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
25. 25.❌ Diya’s recycling sorter was tested on 20 new waste photos and got 16 right. How many did it get wrong?
26. 26.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
27. 27.❌ Tara’s handwriting reader was tested on 20 new handwritten letters and got 18 right. How many did it get wrong?
28. 28.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
29. 29.📦 Tara collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 40 new messages, how many should it get right?
31. 31.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
32. 32.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
34. 34.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Saanvi collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
38. 38.❌ Ananya’s fruit sorter was tested on 27 new fruit photos and got 18 right. How many did it get wrong?
39. 39.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 15 right. What is its accuracy in percent?
40. 40.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?

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