Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 335 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
2. 2.❌ Tara’s leaf identifier was tested on 25 new leaf photos and got 17 right. How many did it get wrong?
3. 3.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
4. 4.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 30 right. How many percentage points more accurate is Model A?
5. 5.📦 Nisha collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.📦 Rohan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
8. 8.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
9. 9.❌ Meera’s bird-song app was tested on 34 new bird songs and got 32 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
11. 11.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
12. 12.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
13. 13.❌ Meera’s spam spotter was tested on 25 new messages and got 16 right. How many did it get wrong?
14. 14.📦 Rohan collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
15. 15.🎯 Meera’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
16. 16.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 41 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
18. 18.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
19. 19.📦 Tara collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
21. 21.📦 Diya collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Arjun’s fruit sorter was tested on 32 new fruit photos and got 24 right. How many did it get wrong?
23. 23.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
24. 24.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
25. 25.📦 Aarav collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
27. 27.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
29. 29.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
30. 30.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
31. 31.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
32. 32.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
34. 34.📦 Ananya collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
35. 35.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 43 right and Model B got 38 right. How many percentage points more accurate is Model A?
36. 36.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
37. 37.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
38. 38.❌ Saanvi’s handwriting reader was tested on 38 new handwritten letters and got 35 right. How many did it get wrong?
39. 39.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
40. 40.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 50 new bird songs, how many should it get right?

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