Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 622 · 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.📦 Tara collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
3. 3.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
5. 5.📋 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
6. 6.📦 Vihaan collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
8. 8.🧪 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
9. 9.📦 Rohan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
11. 11.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
12. 12.📦 Ananya collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
13. 13.❌ Vihaan’s spam spotter was tested on 32 new messages and got 24 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
15. 15.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
16. 16.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
18. 18.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
19. 19.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
20. 20.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
21. 21.❌ Meera’s fruit sorter was tested on 41 new fruit photos and got 40 right. How many did it get wrong?
22. 22.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
23. 23.❌ Saanvi’s recycling sorter was tested on 43 new waste photos and got 42 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
25. 25.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
26. 26.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
27. 27.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
29. 29.📦 Saanvi collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
30. 30.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
31. 31.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 42 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
33. 33.❌ Ishaan’s bird-song app was tested on 19 new bird songs and got 12 right. How many did it get wrong?
34. 34.❌ Ishaan’s leaf identifier was tested on 28 new leaf photos and got 21 right. How many did it get wrong?
35. 35.❌ Ishaan’s bird-song app was tested on 24 new bird songs and got 21 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
37. 37.📦 Vihaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.❌ Nisha’s fruit sorter was tested on 29 new fruit photos and got 26 right. How many did it get wrong?
39. 39.❌ Nisha’s leaf identifier was tested on 20 new leaf photos and got 16 right. How many did it get wrong?
40. 40.📦 Arjun collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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