Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 325 · 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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
2. 2.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
4. 4.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
6. 6.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 37 right. How many percentage points more accurate is Model A?
7. 7.📋 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
8. 8.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
10. 10.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
11. 11.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 32 right and Model B got 31 right. How many percentage points more accurate is Model A?
12. 12.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
13. 13.📦 Ananya collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
15. 15.🎯 Aarav’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
16. 16.📦 Nisha collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
18. 18.🧪 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
19. 19.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
20. 20.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
21. 21.🎯 Arjun’s handwriting reader was tested on 25 new handwritten letters and got 21 right. What is its accuracy in percent?
22. 22.❌ Vihaan’s handwriting reader was tested on 42 new handwritten letters and got 35 right. How many did it get wrong?
23. 23.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 70 new bird songs, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
25. 25.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
26. 26.❌ Tara’s fruit sorter was tested on 43 new fruit photos and got 35 right. How many did it get wrong?
27. 27.📦 Aarav collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Arjun’s handwriting reader was tested on 27 new handwritten letters and got 19 right. How many did it get wrong?
29. 29.🧪 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 make it bigger (d) to save paper
30. 30.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
31. 31.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
33. 33.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
34. 34.📦 Saanvi collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
36. 36.❌ Arjun’s spam spotter was tested on 41 new messages and got 39 right. How many did it get wrong?
37. 37.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
38. 38.📦 Meera collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
39. 39.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 19 right. How many percentage points more accurate is Model A?
40. 40.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?

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