Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 643 · 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.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
2. 2.❌ Tara’s bird-song app was tested on 21 new bird songs and got 15 right. How many did it get wrong?
3. 3.📋 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
4. 4.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
5. 5.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
6. 6.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 32 right. What is its accuracy in percent?
7. 7.🎯 Tara’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
9. 9.❌ Ananya’s bird-song app was tested on 29 new bird songs and got 21 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
11. 11.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
12. 12.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
13. 13.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
14. 14.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
15. 15.❌ Meera’s leaf identifier was tested on 17 new leaf photos and got 11 right. How many did it get wrong?
16. 16.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
18. 18.🎯 Saanvi’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
19. 19.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 31 right. What is its accuracy in percent?
20. 20.📋 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
21. 21.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
22. 22.🧪 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
23. 23.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
24. 24.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
25. 25.📦 Kabir collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
27. 27.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 38 right. How many percentage points more accurate is Model A?
28. 28.🎯 Diya’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
29. 29.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
30. 30.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
31. 31.⚖️ 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?
32. 32.🎯 Aarav’s bird-song app was tested on 50 new bird songs and got 34 right. What is its accuracy in percent?
33. 33.📦 Ishaan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
35. 35.❌ Aarav’s spam spotter was tested on 18 new messages and got 10 right. How many did it get wrong?
36. 36.📦 Aarav collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
38. 38.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
39. 39.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
40. 40.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?

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