Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 999 · 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.❌ Ananya’s fruit sorter was tested on 43 new fruit photos and got 40 right. How many did it get wrong?
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
4. 4.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
5. 5.❌ Saanvi’s recycling sorter was tested on 30 new waste photos and got 25 right. How many did it get wrong?
6. 6.❌ Ishaan’s bird-song app was tested on 48 new bird songs and got 39 right. How many did it get wrong?
7. 7.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
8. 8.❌ Nisha’s bird-song app was tested on 20 new bird songs and got 18 right. How many did it get wrong?
9. 9.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
11. 11.📦 Rohan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
13. 13.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
14. 14.🎯 Ananya’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
15. 15.❌ Nisha’s fruit sorter was tested on 21 new fruit photos and got 16 right. How many did it get wrong?
16. 16.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
17. 17.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
18. 18.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
19. 19.❌ Kabir’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
20. 20.🎯 Rohan’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
21. 21.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
23. 23.🎯 Tara’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
24. 24.🎯 Arjun’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
25. 25.❌ Aarav’s leaf identifier was tested on 44 new leaf photos and got 38 right. How many did it get wrong?
26. 26.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
27. 27.📦 Kabir collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
28. 28.📦 Meera collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Aarav’s recycling sorter was tested on 44 new waste photos and got 41 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
31. 31.📦 Aarav collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
33. 33.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
34. 34.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
36. 36.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
37. 37.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
39. 39.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
40. 40.📦 Aarav collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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