Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 682 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
2. 2.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
3. 3.📦 Saanvi collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
5. 5.📦 Aarav collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
6. 6.❌ Meera’s spam spotter was tested on 24 new messages and got 21 right. How many did it get wrong?
7. 7.📦 Diya collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
8. 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
10. 10.🎯 Ananya’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
11. 11.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
12. 12.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
13. 13.❌ Vihaan’s fruit sorter was tested on 33 new fruit photos and got 24 right. How many did it get wrong?
14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
15. 15.📦 Kabir collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
17. 17.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
19. 19.❌ Meera’s fruit sorter was tested on 36 new fruit photos and got 30 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
21. 21.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
22. 22.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
23. 23.🎯 Nisha’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
24. 24.📦 Aarav collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Ishaan’s spam spotter was tested on 22 new messages and got 17 right. How many did it get wrong?
26. 26.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
27. 27.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 44 right. How many percentage points more accurate is Model A?
28. 28.❌ Rohan’s handwriting reader was tested on 23 new handwritten letters and got 20 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
30. 30.❌ Ishaan’s handwriting reader was tested on 28 new handwritten letters and got 27 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
32. 32.❌ Arjun’s fruit sorter was tested on 19 new fruit photos and got 13 right. How many did it get wrong?
33. 33.📋 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
34. 34.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Aarav’s leaf identifier was tested on 20 new leaf photos and got 15 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
37. 37.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 45 right and Model B got 34 right. How many percentage points more accurate is Model A?
38. 38.📦 Ananya collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
40. 40.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?

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