Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 301 · 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.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
3. 3.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
4. 4.📦 Nisha collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
6. 6.⚖️ 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?
7. 7.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
8. 8.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
9. 9.📦 Arjun collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
11. 11.📦 Arjun collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📦 Nisha collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
15. 15.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
16. 16.🎯 Saanvi’s recycling sorter is 60% accurate. If it is tested on 60 new waste photos, how many should it get right?
17. 17.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
18. 18.❌ Meera’s recycling sorter was tested on 20 new waste photos and got 11 right. How many did it get wrong?
19. 19.📦 Aarav collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
21. 21.🎯 Kabir’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
22. 22.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
23. 23.🎯 Meera’s spam spotter was tested on 50 new messages and got 30 right. What is its accuracy in percent?
24. 24.📦 Ananya collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Ananya’s handwriting reader was tested on 33 new handwritten letters and got 32 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
27. 27.📦 Ananya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Ananya’s handwriting reader was tested on 50 new handwritten letters and got 45 right. What is its accuracy in percent?
29. 29.❌ Kabir’s bird-song app was tested on 50 new bird songs and got 45 right. How many did it get wrong?
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
31. 31.❌ Saanvi’s leaf identifier was tested on 13 new leaf photos and got 12 right. How many did it get wrong?
32. 32.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
33. 33.❌ Meera’s leaf identifier was tested on 42 new leaf photos and got 33 right. How many did it get wrong?
34. 34.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
35. 35.📦 Ishaan collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
37. 37.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
38. 38.📦 Ishaan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
40. 40.📦 Diya collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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