Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 510 · 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 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
2. 2.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
3. 3.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
4. 4.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
5. 5.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
6. 6.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 80 new messages, how many should it get right?
7. 7.🎯 Tara’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
8. 8.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
9. 9.📦 Aarav collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Meera’s fruit sorter was tested on 34 new fruit photos and got 28 right. How many did it get wrong?
11. 11.📦 Kabir collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
13. 13.📦 Kabir collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
15. 15.🎯 Arjun’s spam spotter is 60% accurate. If it is tested on 100 new messages, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
18. 18.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
19. 19.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 48 right. What is its accuracy in percent?
20. 20.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
21. 21.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
22. 22.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
23. 23.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
24. 24.📦 Arjun collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Diya’s bird-song app was tested on 14 new bird songs and got 12 right. How many did it get wrong?
26. 26.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
27. 27.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
28. 28.🎯 Ananya’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
30. 30.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
31. 31.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
32. 32.🎯 Diya’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
33. 33.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
34. 34.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
35. 35.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
37. 37.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
39. 39.📦 Meera collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example

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