Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 485 · 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.📦 Meera collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.📦 Meera collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Arjun’s recycling sorter is 80% accurate. If it is tested on 90 new waste photos, how many should it get right?
4. 4.❌ Aarav’s handwriting reader was tested on 16 new handwritten letters and got 13 right. How many did it get wrong?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
6. 6.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
7. 7.📦 Ananya collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
8. 8.❌ Saanvi’s fruit sorter was tested on 41 new fruit photos and got 32 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
10. 10.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
12. 12.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
13. 13.📋 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
14. 14.📦 Diya collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
15. 15.❌ Saanvi’s fruit sorter was tested on 21 new fruit photos and got 19 right. How many did it get wrong?
16. 16.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
18. 18.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
19. 19.📦 Nisha collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📦 Meera collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
21. 21.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 32 right. What is its accuracy in percent?
22. 22.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
24. 24.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
25. 25.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
26. 26.📦 Vihaan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
29. 29.📦 Vihaan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.⚖️ 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?
31. 31.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
32. 32.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
33. 33.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
35. 35.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
36. 36.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 47 right. What is its accuracy in percent?
37. 37.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
39. 39.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 37 right. How many percentage points more accurate is Model A?
40. 40.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?

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