Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 361 · 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 — label each example or correct bad labels? (a) label each example (b) correct bad labels
2. 2.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
4. 4.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
5. 5.❌ Kabir’s handwriting reader was tested on 45 new handwritten letters and got 43 right. How many did it get wrong?
6. 6.❌ Vihaan’s recycling sorter was tested on 32 new waste photos and got 27 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
8. 8.❌ Aarav’s bird-song app was tested on 44 new bird songs and got 39 right. How many did it get wrong?
9. 9.❌ Arjun’s fruit sorter was tested on 27 new fruit photos and got 21 right. How many did it get wrong?
10. 10.📦 Arjun collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
12. 12.🎯 Rohan’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
13. 13.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
14. 14.🎯 Saanvi’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
15. 15.📦 Ananya collected 40 labelled waste photos for a recycling sorter 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) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
17. 17.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
18. 18.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
19. 19.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
21. 21.❌ Kabir’s spam spotter was tested on 14 new messages and got 13 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
23. 23.📦 Tara collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
25. 25.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
26. 26.📦 Ishaan collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
28. 28.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
30. 30.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
31. 31.📦 Meera collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
33. 33.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
34. 34.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 36 right. How many percentage points more accurate is Model A?
35. 35.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
36. 36.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 33 right. What is its accuracy in percent?
37. 37.📦 Tara collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
39. 39.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example

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