Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 867 · 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.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 38 right. What is its accuracy in percent?
2. 2.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 46 right and Model B got 25 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
4. 4.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
5. 5.❌ Vihaan’s recycling sorter was tested on 34 new waste photos and got 28 right. How many did it get wrong?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
7. 7.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
8. 8.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
9. 9.❌ Kabir’s leaf identifier was tested on 39 new leaf photos and got 37 right. How many did it get wrong?
10. 10.❌ Nisha’s handwriting reader was tested on 47 new handwritten letters and got 38 right. How many did it get wrong?
11. 11.❌ Diya’s recycling sorter was tested on 15 new waste photos and got 10 right. How many did it get wrong?
12. 12.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
13. 13.⚖️ 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?
14. 14.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
16. 16.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 10 right. How many percentage points more accurate is Model A?
17. 17.❌ Meera’s leaf identifier was tested on 25 new leaf photos and got 23 right. How many did it get wrong?
18. 18.❌ Ishaan’s spam spotter was tested on 16 new messages and got 15 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
20. 20.📦 Tara collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 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
22. 22.❌ Saanvi’s fruit sorter was tested on 37 new fruit photos and got 33 right. How many did it get wrong?
23. 23.📦 Arjun collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
25. 25.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
26. 26.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
27. 27.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
28. 28.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
29. 29.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
31. 31.📦 Ananya collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
33. 33.📦 Meera collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
35. 35.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
36. 36.❌ Nisha’s handwriting reader was tested on 27 new handwritten letters and got 22 right. How many did it get wrong?
37. 37.❌ Vihaan’s recycling sorter was tested on 20 new waste photos and got 13 right. How many did it get wrong?
38. 38.❌ Diya’s recycling sorter was tested on 18 new waste photos and got 12 right. How many did it get wrong?
39. 39.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 30 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples

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