Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 357 · 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 handwriting reader was tested on 20 new handwritten letters and got 20 right. What is its accuracy in percent?
2. 2.❌ Vihaan’s fruit sorter was tested on 16 new fruit photos and got 14 right. How many did it get wrong?
3. 3.🧪 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
4. 4.📦 Ishaan collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
6. 6.📋 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
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.🎯 Vihaan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
9. 9.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
10. 10.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
11. 11.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
13. 13.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 46 right and Model B got 40 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
15. 15.🧪 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
16. 16.⚖️ 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?
17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 39 right and Model B got 34 right. How many percentage points more accurate is Model A?
18. 18.📦 Rohan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.❌ Meera’s bird-song app was tested on 21 new bird songs and got 12 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
22. 22.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
23. 23.🎯 Vihaan’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
24. 24.❌ Vihaan’s leaf identifier was tested on 16 new leaf photos and got 14 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
26. 26.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
27. 27.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
28. 28.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
30. 30.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
31. 31.📦 Kabir collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Tara’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
34. 34.📦 Ananya collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Rohan’s spam spotter was tested on 40 new messages and got 32 right. How many did it get wrong?
36. 36.📋 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
37. 37.📦 Saanvi collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
39. 39.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos

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