Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 718 · 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 — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
2. 2.📦 Kabir collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
4. 4.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
5. 5.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
6. 6.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
7. 7.📦 Ishaan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
8. 8.🎯 Saanvi’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
10. 10.❌ Vihaan’s handwriting reader was tested on 22 new handwritten letters and got 18 right. How many did it get wrong?
11. 11.🎯 Aarav’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
12. 12.❌ Diya’s fruit sorter was tested on 29 new fruit photos and got 21 right. How many did it get wrong?
13. 13.🎯 Ananya’s bird-song app was tested on 50 new bird songs and got 32 right. What is its accuracy in percent?
14. 14.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 45 right. What is its accuracy in percent?
15. 15.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
17. 17.🎯 Tara’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
19. 19.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
20. 20.📦 Nisha collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
21. 21.❌ Tara’s bird-song app was tested on 33 new bird songs and got 25 right. How many did it get wrong?
22. 22.📦 Nisha collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
24. 24.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
25. 25.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 90 new waste photos, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
27. 27.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
28. 28.🎯 Ananya’s spam spotter was tested on 20 new messages and got 17 right. What is its accuracy in percent?
29. 29.📋 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
30. 30.❌ Nisha’s fruit sorter was tested on 34 new fruit photos and got 27 right. How many did it get wrong?
31. 31.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
33. 33.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
34. 34.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
35. 35.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
36. 36.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
37. 37.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
38. 38.❌ Ishaan’s fruit sorter was tested on 21 new fruit photos and got 19 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
40. 40.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?

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