Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 991 · 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 recycling sorter was tested on 21 new waste photos and got 16 right. How many did it get wrong?
2. 2.❌ Kabir’s handwriting reader was tested on 42 new handwritten letters and got 39 right. How many did it get wrong?
3. 3.❌ Ishaan’s fruit sorter was tested on 37 new fruit photos and got 29 right. How many did it get wrong?
4. 4.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
6. 6.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
7. 7.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
8. 8.📦 Ananya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.❌ Ishaan’s leaf identifier was tested on 50 new leaf photos and got 48 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
11. 11.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
13. 13.📋 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
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
15. 15.📦 Nisha collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
17. 17.❌ Nisha’s spam spotter was tested on 36 new messages and got 32 right. How many did it get wrong?
18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
19. 19.📦 Vihaan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
21. 21.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
22. 22.📦 Diya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
24. 24.❌ Aarav’s fruit sorter was tested on 35 new fruit photos and got 34 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
26. 26.📦 Meera collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📦 Ishaan collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
29. 29.❌ Rohan’s leaf identifier was tested on 35 new leaf photos and got 33 right. How many did it get wrong?
30. 30.📋 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
31. 31.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
32. 32.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
33. 33.📦 Saanvi collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Arjun’s bird-song app was tested on 46 new bird songs and got 39 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
36. 36.🎯 Ananya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
37. 37.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
38. 38.🎯 Nisha’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
39. 39.❌ Tara’s bird-song app was tested on 34 new bird songs and got 29 right. How many did it get wrong?
40. 40.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?

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