Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 897 · 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.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
2. 2.📦 Vihaan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.📦 Diya collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
5. 5.📦 Arjun collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
7. 7.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
8. 8.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
9. 9.🎯 Tara’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
10. 10.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
11. 11.⚖️ 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?
12. 12.📦 Aarav collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Tara collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
15. 15.📦 Rohan collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
18. 18.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 47 right and Model B got 46 right. How many percentage points more accurate is Model A?
19. 19.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
20. 20.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 47 right. What is its accuracy in percent?
21. 21.❌ Meera’s handwriting reader was tested on 46 new handwritten letters and got 39 right. How many did it get wrong?
22. 22.📦 Kabir collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
24. 24.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
26. 26.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 49 right. What is its accuracy in percent?
27. 27.❌ Arjun’s fruit sorter was tested on 30 new fruit photos and got 25 right. How many did it get wrong?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
29. 29.📋 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
30. 30.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
31. 31.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
34. 34.📦 Aarav collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
36. 36.📦 Aarav collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
38. 38.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 21 right. How many percentage points more accurate is Model A?
39. 39.📦 Nisha collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label

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