Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 757 · 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.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 44 right. What is its accuracy in percent?
2. 2.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
4. 4.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
5. 5.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
6. 6.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
7. 7.📦 Ishaan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
9. 9.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
10. 10.📦 Vihaan collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
13. 13.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
14. 14.❌ Kabir’s leaf identifier was tested on 23 new leaf photos and got 21 right. How many did it get wrong?
15. 15.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
16. 16.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
18. 18.📦 Meera collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 50 new bird songs, how many should it get right?
20. 20.🎯 Arjun’s leaf identifier was tested on 50 new leaf photos and got 41 right. What is its accuracy in percent?
21. 21.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
24. 24.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 33 right. How many percentage points more accurate is Model A?
25. 25.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
26. 26.❌ Aarav’s leaf identifier was tested on 24 new leaf photos and got 19 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
28. 28.❌ Tara’s fruit sorter was tested on 22 new fruit photos and got 13 right. How many did it get wrong?
29. 29.🎯 Nisha’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
30. 30.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 25 right. What is its accuracy in percent?
31. 31.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
32. 32.❌ Meera’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
34. 34.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
36. 36.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
37. 37.❌ Kabir’s fruit sorter was tested on 25 new fruit photos and got 18 right. How many did it get wrong?
38. 38.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 41 right. How many percentage points more accurate is Model A?
39. 39.❌ Diya’s bird-song app was tested on 24 new bird songs and got 23 right. How many did it get wrong?
40. 40.🎯 Rohan’s recycling sorter is 60% accurate. If it is tested on 60 new waste photos, how many should it get right?

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