Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 668 · 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.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
2. 2.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
5. 5.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
6. 6.❌ Nisha’s handwriting reader was tested on 49 new handwritten letters and got 47 right. How many did it get wrong?
7. 7.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
9. 9.📦 Ananya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
11. 11.📦 Saanvi collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
12. 12.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
13. 13.📋 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
14. 14.🎯 Ishaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
15. 15.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
16. 16.❌ Kabir’s fruit sorter was tested on 46 new fruit photos and got 38 right. How many did it get wrong?
17. 17.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
18. 18.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 47 right. What is its accuracy in percent?
19. 19.❌ Vihaan’s handwriting reader was tested on 32 new handwritten letters and got 29 right. How many did it get wrong?
20. 20.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 26 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
22. 22.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
23. 23.📦 Diya collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Kabir’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
26. 26.📦 Vihaan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 60 new leaf photos, how many should it get right?
28. 28.📦 Saanvi collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
30. 30.🎯 Rohan’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
31. 31.🎯 Vihaan’s spam spotter was tested on 50 new messages and got 35 right. What is its accuracy in percent?
32. 32.📦 Ishaan collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Rohan’s fruit sorter was tested on 42 new fruit photos and got 39 right. How many did it get wrong?
34. 34.📦 Arjun collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
37. 37.❌ Tara’s handwriting reader was tested on 15 new handwritten letters and got 14 right. How many did it get wrong?
38. 38.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
39. 39.🎯 Arjun’s bird-song app was tested on 50 new bird songs and got 42 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model

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