Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 841 · 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.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
3. 3.❌ Kabir’s bird-song app was tested on 44 new bird songs and got 35 right. How many did it get wrong?
4. 4.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 31 right and Model B got 26 right. How many percentage points more accurate is Model A?
5. 5.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
6. 6.📋 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
7. 7.❌ Rohan’s fruit sorter was tested on 30 new fruit photos and got 28 right. How many did it get wrong?
8. 8.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
10. 10.❌ Ananya’s fruit sorter was tested on 34 new fruit photos and got 29 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
12. 12.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
13. 13.📋 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
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
15. 15.❌ Nisha’s fruit sorter was tested on 48 new fruit photos and got 47 right. How many did it get wrong?
16. 16.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
17. 17.❌ Kabir’s leaf identifier was tested on 45 new leaf photos and got 43 right. How many did it get wrong?
18. 18.📦 Saanvi collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
20. 20.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
22. 22.❌ Rohan’s fruit sorter was tested on 25 new fruit photos and got 22 right. How many did it get wrong?
23. 23.📋 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
24. 24.❌ Tara’s handwriting reader was tested on 39 new handwritten letters and got 32 right. How many did it get wrong?
25. 25.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
26. 26.📦 Nisha collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
29. 29.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
30. 30.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
31. 31.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
32. 32.❌ Aarav’s handwriting reader was tested on 25 new handwritten letters and got 17 right. How many did it get wrong?
33. 33.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
34. 34.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
35. 35.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
36. 36.📋 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
37. 37.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
39. 39.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
40. 40.❌ Arjun’s handwriting reader was tested on 50 new handwritten letters and got 41 right. How many did it get wrong?

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