Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 8 · 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 spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
2. 2.🎯 Arjun’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
3. 3.📦 Saanvi collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
6. 6.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
7. 7.❌ Meera’s leaf identifier was tested on 21 new leaf photos and got 13 right. How many did it get wrong?
8. 8.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
9. 9.📦 Kabir collected 60 labelled handwritten letters for a handwriting reader 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) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
11. 11.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
12. 12.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
13. 13.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
14. 14.🎯 Meera’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
15. 15.📋 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
16. 16.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
17. 17.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
18. 18.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
20. 20.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
21. 21.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
22. 22.📋 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
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.📦 Aarav collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
27. 27.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
28. 28.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
30. 30.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
32. 32.📦 Ishaan collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
34. 34.🎯 Tara’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
35. 35.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 70 new fruit photos, how many should it get right?
36. 36.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
38. 38.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 90 new waste photos, how many should it get right?
39. 39.🎯 Saanvi’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
40. 40.📦 Kabir collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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