Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 122 · 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) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
2. 2.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
3. 3.📋 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
4. 4.🧪 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
5. 5.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
7. 7.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
9. 9.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
10. 10.📋 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
11. 11.⚖️ 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?
12. 12.🎯 Ananya’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
13. 13.📦 Aarav collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.📦 Vihaan collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
15. 15.📦 Arjun collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
17. 17.🎯 Tara’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
19. 19.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
20. 20.📦 Saanvi collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
21. 21.📦 Aarav collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Saanvi’s leaf identifier was tested on 47 new leaf photos and got 42 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
24. 24.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
25. 25.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
26. 26.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
28. 28.📦 Saanvi collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.❌ Ishaan’s bird-song app was tested on 26 new bird songs and got 21 right. How many did it get wrong?
30. 30.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
31. 31.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
32. 32.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
33. 33.🎯 Nisha’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
34. 34.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
35. 35.❌ Diya’s bird-song app was tested on 27 new bird songs and got 24 right. How many did it get wrong?
36. 36.❌ Ishaan’s fruit sorter was tested on 37 new fruit photos and got 35 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
38. 38.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
39. 39.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
40. 40.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students