Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 163 · 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.🎯 Aarav’s handwriting reader was tested on 25 new handwritten letters and got 19 right. What is its accuracy in percent?
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
3. 3.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
4. 4.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
5. 5.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 48 right. What is its accuracy in percent?
6. 6.🎯 Tara’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
7. 7.🎯 Vihaan’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
8. 8.📦 Kabir collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
10. 10.🎯 Tara’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
11. 11.📦 Vihaan collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
13. 13.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
14. 14.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
15. 15.🎯 Saanvi’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
16. 16.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
18. 18.❌ Ishaan’s handwriting reader was tested on 27 new handwritten letters and got 18 right. How many did it get wrong?
19. 19.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
23. 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
24. 24.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
25. 25.📦 Kabir collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
28. 28.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
29. 29.🎯 Aarav’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
30. 30.❌ Arjun’s leaf identifier was tested on 24 new leaf photos and got 22 right. How many did it get wrong?
31. 31.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
32. 32.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
34. 34.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
36. 36.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
37. 37.🎯 Ananya’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
38. 38.❌ Rohan’s fruit sorter was tested on 28 new fruit photos and got 22 right. How many did it get wrong?
39. 39.❌ Aarav’s fruit sorter was tested on 18 new fruit photos and got 15 right. How many did it get wrong?
40. 40.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?

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