Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 408 · 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 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
2. 2.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
4. 4.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
5. 5.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
6. 6.📦 Rohan collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Rohan’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
8. 8.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
9. 9.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 60 new messages, how many should it get right?
10. 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
11. 11.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
12. 12.🧪 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
13. 13.🎯 Vihaan’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
14. 14.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
16. 16.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 10 right. What is its accuracy in percent?
17. 17.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
18. 18.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
19. 19.❌ Aarav’s handwriting reader was tested on 14 new handwritten letters and got 11 right. How many did it get wrong?
20. 20.📦 Ishaan collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
22. 22.📋 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
23. 23.🎯 Ishaan’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
24. 24.❌ Rohan’s handwriting reader was tested on 29 new handwritten letters and got 28 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
26. 26.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
27. 27.⚖️ 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?
28. 28.🎯 Aarav’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
29. 29.⚖️ 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?
30. 30.❌ Arjun’s recycling sorter was tested on 48 new waste photos and got 45 right. How many did it get wrong?
31. 31.📦 Vihaan collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
32. 32.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
34. 34.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
35. 35.🎯 Rohan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
36. 36.📦 Ishaan collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
38. 38.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
39. 39.❌ Nisha’s spam spotter was tested on 46 new messages and got 38 right. How many did it get wrong?
40. 40.📦 Kabir collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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