Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 434 · 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.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
3. 3.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
6. 6.📦 Aarav collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
8. 8.🎯 Aarav’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
9. 9.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
10. 10.🎯 Rohan’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
11. 11.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 26 right and Model B got 25 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
13. 13.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
15. 15.❌ Kabir’s handwriting reader was tested on 42 new handwritten letters and got 35 right. How many did it get wrong?
16. 16.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
18. 18.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
19. 19.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
20. 20.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
21. 21.❌ Nisha’s fruit sorter was tested on 44 new fruit photos and got 41 right. How many did it get wrong?
22. 22.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
23. 23.📦 Rohan collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
25. 25.❌ Meera’s fruit sorter was tested on 32 new fruit photos and got 27 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
27. 27.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
28. 28.📦 Saanvi collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
30. 30.📋 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
31. 31.❌ Vihaan’s spam spotter was tested on 40 new messages and got 33 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
33. 33.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
34. 34.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
35. 35.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
36. 36.❌ Rohan’s fruit sorter was tested on 42 new fruit photos and got 36 right. How many did it get wrong?
37. 37.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
38. 38.📦 Saanvi collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.📦 Tara collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
40. 40.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?

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