Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 55 · 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 — test on new photos or train the model? (a) test on new photos (b) train the model
2. 2.📦 Aarav collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
4. 4.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 46 right. How many percentage points more accurate is Model A?
5. 5.🎯 Saanvi’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
6. 6.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
8. 8.📦 Tara collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
10. 10.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
11. 11.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
12. 12.❌ Tara’s handwriting reader was tested on 26 new handwritten letters and got 23 right. How many did it get wrong?
13. 13.📦 Meera collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Nisha’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
15. 15.❌ Ananya’s leaf identifier was tested on 21 new leaf photos and got 13 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
17. 17.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
18. 18.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
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.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
22. 22.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
24. 24.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
25. 25.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
26. 26.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
27. 27.📦 Kabir collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Kabir’s spam spotter was tested on 25 new messages and got 21 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
30. 30.📦 Meera collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
32. 32.📋 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
33. 33.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
34. 34.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
35. 35.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 70 new fruit photos, how many should it get right?
36. 36.📦 Nisha collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
38. 38.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
40. 40.❌ Rohan’s fruit sorter was tested on 35 new fruit photos and got 28 right. How many did it get wrong?

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