Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 316 · 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.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
2. 2.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
3. 3.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
4. 4.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
5. 5.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
6. 6.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
7. 7.📦 Vihaan collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
9. 9.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
10. 10.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
12. 12.🧪 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
13. 13.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
14. 14.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
16. 16.❌ Nisha’s recycling sorter was tested on 47 new waste photos and got 41 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
18. 18.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
20. 20.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
21. 21.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
22. 22.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
23. 23.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
24. 24.📋 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
25. 25.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 29 right. What is its accuracy in percent?
26. 26.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
27. 27.📦 Vihaan collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📦 Tara collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
31. 31.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
32. 32.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 19 right. How many percentage points more accurate is Model A?
33. 33.❌ Nisha’s fruit sorter was tested on 46 new fruit photos and got 42 right. How many did it get wrong?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
35. 35.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
36. 36.🎯 Ananya’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
37. 37.🎯 Saanvi’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
38. 38.🎯 Arjun’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
39. 39.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
40. 40.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?

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