Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 385 · 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.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
2. 2.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
3. 3.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
4. 4.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
6. 6.📋 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
7. 7.🧪 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
8. 8.🎯 Rohan’s recycling sorter was tested on 50 new waste photos and got 47 right. What is its accuracy in percent?
9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
10. 10.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
11. 11.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 44 right and Model B got 41 right. How many percentage points more accurate is Model A?
12. 12.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
13. 13.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 22 right. What is its accuracy in percent?
14. 14.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
16. 16.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
17. 17.❌ Ananya’s bird-song app was tested on 29 new bird songs and got 21 right. How many did it get wrong?
18. 18.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
19. 19.🎯 Ananya’s spam spotter was tested on 25 new messages and got 24 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
21. 21.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
22. 22.📦 Saanvi collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
24. 24.🎯 Meera’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
25. 25.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
26. 26.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
27. 27.📦 Diya collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📦 Arjun collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
31. 31.📦 Ishaan collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
33. 33.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
34. 34.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
35. 35.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
36. 36.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
38. 38.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
39. 39.❌ Arjun’s fruit sorter was tested on 20 new fruit photos and got 18 right. How many did it get wrong?
40. 40.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 32 right. What is its accuracy in percent?

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