Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 9 · 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 collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
3. 3.📦 Arjun collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.❌ Tara’s spam spotter was tested on 26 new messages and got 18 right. How many did it get wrong?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
6. 6.📦 Tara collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
8. 8.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
9. 9.📦 Kabir collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
11. 11.❌ Nisha’s handwriting reader was tested on 33 new handwritten letters and got 30 right. How many did it get wrong?
12. 12.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
13. 13.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
14. 14.❌ Ananya’s recycling sorter was tested on 30 new waste photos and got 23 right. How many did it get wrong?
15. 15.📦 Ananya collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
17. 17.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
18. 18.📦 Aarav collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
20. 20.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
22. 22.🎯 Meera’s spam spotter was tested on 50 new messages and got 50 right. What is its accuracy in percent?
23. 23.📦 Rohan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 45 right and Model B got 39 right. How many percentage points more accurate is Model A?
25. 25.🎯 Meera’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
26. 26.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
27. 27.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 31 right and Model B got 30 right. How many percentage points more accurate is Model A?
28. 28.📦 Ishaan collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
31. 31.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
32. 32.❌ Meera’s bird-song app was tested on 37 new bird songs and got 34 right. How many did it get wrong?
33. 33.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 47 right and Model B got 33 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
35. 35.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
36. 36.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
37. 37.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
38. 38.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
40. 40.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 35 right and Model B got 30 right. How many percentage points more accurate is Model A?

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