Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 878 · 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 — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
2. 2.🎯 Kabir’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
3. 3.🎯 Vihaan’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
4. 4.📦 Ananya collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.📦 Aarav collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 29 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
8. 8.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
9. 9.🎯 Rohan’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
10. 10.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 33 right and Model B got 29 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
12. 12.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
13. 13.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
16. 16.📦 Meera collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
17. 17.❌ Arjun’s recycling sorter was tested on 15 new waste photos and got 11 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
19. 19.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
20. 20.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
21. 21.❌ Ananya’s bird-song app was tested on 37 new bird songs and got 32 right. How many did it get wrong?
22. 22.❌ Ananya’s recycling sorter was tested on 29 new waste photos and got 21 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
24. 24.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
26. 26.📋 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
27. 27.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
29. 29.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
30. 30.🧪 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 make it bigger (d) to save paper
31. 31.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
32. 32.🧪 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
33. 33.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
35. 35.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
36. 36.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
37. 37.📦 Rohan collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
39. 39.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
40. 40.📦 Kabir collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

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