Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 587 · 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.❌ Ishaan’s recycling sorter was tested on 38 new waste photos and got 31 right. How many did it get wrong?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
3. 3.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 47 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
5. 5.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
6. 6.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
7. 7.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
8. 8.❌ Nisha’s handwriting reader was tested on 30 new handwritten letters and got 27 right. How many did it get wrong?
9. 9.📦 Tara collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
10. 10.🧪 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
11. 11.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
12. 12.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
13. 13.🎯 Tara’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
14. 14.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
15. 15.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 40 new leaf photos, how many should it get right?
16. 16.🎯 Meera’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
17. 17.📋 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
18. 18.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
19. 19.📦 Ishaan collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
21. 21.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
22. 22.🎯 Arjun’s handwriting reader was tested on 50 new handwritten letters and got 36 right. What is its accuracy in percent?
23. 23.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
24. 24.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
25. 25.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
26. 26.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
27. 27.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
28. 28.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
29. 29.📦 Arjun collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
31. 31.❌ Nisha’s bird-song app was tested on 45 new bird songs and got 44 right. How many did it get wrong?
32. 32.📦 Meera collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.❌ Nisha’s handwriting reader was tested on 30 new handwritten letters and got 25 right. How many did it get wrong?
34. 34.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
35. 35.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
36. 36.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
37. 37.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
38. 38.📦 Rohan collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
39. 39.❌ Aarav’s fruit sorter was tested on 21 new fruit photos and got 14 right. How many did it get wrong?
40. 40.❌ Rohan’s bird-song app was tested on 26 new bird songs and got 25 right. How many did it get wrong?

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