Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 544 · 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.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
2. 2.❌ Diya’s handwriting reader was tested on 16 new handwritten letters and got 13 right. How many did it get wrong?
3. 3.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
7. 7.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
10. 10.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
11. 11.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
12. 12.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
13. 13.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
15. 15.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
16. 16.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
17. 17.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 21 right and Model B got 19 right. How many percentage points more accurate is Model A?
18. 18.❌ Kabir’s recycling sorter was tested on 32 new waste photos and got 29 right. How many did it get wrong?
19. 19.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
20. 20.❌ Tara’s spam spotter was tested on 50 new messages and got 45 right. How many did it get wrong?
21. 21.❌ Arjun’s fruit sorter was tested on 26 new fruit photos and got 18 right. How many did it get wrong?
22. 22.❌ Ishaan’s leaf identifier was tested on 22 new leaf photos and got 21 right. How many did it get wrong?
23. 23.📦 Vihaan collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.❌ Tara’s leaf identifier was tested on 47 new leaf photos and got 43 right. How many did it get wrong?
25. 25.📦 Ananya collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 20 right. What is its accuracy in percent?
27. 27.🎯 Tara’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
28. 28.🎯 Ananya’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
29. 29.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
30. 30.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
31. 31.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
32. 32.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
34. 34.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
35. 35.📋 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
36. 36.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
37. 37.📦 Aarav collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Arjun’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
40. 40.📦 Kabir collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

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