Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 906 · 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.📦 Saanvi collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.📦 Ananya collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
4. 4.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
6. 6.🎯 Tara’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
8. 8.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
9. 9.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
10. 10.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
12. 12.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
13. 13.📦 Aarav collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
15. 15.🎯 Ananya’s handwriting reader was tested on 50 new handwritten letters and got 30 right. What is its accuracy in percent?
16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
17. 17.🎯 Nisha’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
18. 18.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 35 right. What is its accuracy in percent?
19. 19.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
20. 20.🎯 Rohan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
21. 21.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
22. 22.📦 Kabir collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
24. 24.🎯 Arjun’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
25. 25.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
26. 26.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
28. 28.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
29. 29.📦 Meera collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
31. 31.🎯 Diya’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
33. 33.📦 Saanvi collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
34. 34.📦 Saanvi collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
35. 35.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
36. 36.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
37. 37.🎯 Ananya’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
38. 38.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
39. 39.🎯 Arjun’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again

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