Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 919 · 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.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
2. 2.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
3. 3.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
4. 4.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 17 right. How many percentage points more accurate is Model A?
5. 5.🎯 Rohan’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
6. 6.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
7. 7.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
8. 8.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
9. 9.📋 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
10. 10.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
11. 11.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
12. 12.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
13. 13.📦 Nisha collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.📦 Ishaan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 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
16. 16.❌ Vihaan’s spam spotter was tested on 36 new messages and got 27 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
18. 18.🧪 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
19. 19.📋 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
20. 20.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
21. 21.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
22. 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
23. 23.❌ Aarav’s bird-song app was tested on 20 new bird songs and got 15 right. How many did it get wrong?
24. 24.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
25. 25.❌ Arjun’s fruit sorter was tested on 18 new fruit photos and got 16 right. How many did it get wrong?
26. 26.📦 Kabir collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
28. 28.🎯 Tara’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
29. 29.❌ Kabir’s bird-song app was tested on 23 new bird songs and got 22 right. How many did it get wrong?
30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
31. 31.🎯 Nisha’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
32. 32.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
33. 33.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
34. 34.📦 Aarav collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
37. 37.📋 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
38. 38.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 41 right and Model B got 32 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels

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