Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 802 · 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 — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
3. 3.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
5. 5.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
6. 6.❌ Saanvi’s bird-song app was tested on 32 new bird songs and got 28 right. How many did it get wrong?
7. 7.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
8. 8.❌ Saanvi’s recycling sorter was tested on 22 new waste photos and got 13 right. How many did it get wrong?
9. 9.🎯 Saanvi’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
11. 11.📦 Meera collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 8 right. What is its accuracy in percent?
13. 13.📦 Nisha collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 47 right and Model B got 27 right. How many percentage points more accurate is Model A?
15. 15.📋 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
16. 16.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
17. 17.📦 Tara collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
19. 19.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
20. 20.🎯 Tara’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
21. 21.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 26 right. What is its accuracy in percent?
22. 22.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
23. 23.🎯 Rohan’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
24. 24.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
25. 25.📋 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
26. 26.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
27. 27.🧪 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
28. 28.🎯 Meera’s leaf identifier is 50% accurate. If it is tested on 50 new leaf photos, how many should it get right?
29. 29.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
32. 32.❌ Tara’s handwriting reader was tested on 33 new handwritten letters and got 27 right. How many did it get wrong?
33. 33.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 44 right and Model B got 28 right. How many percentage points more accurate is Model A?
34. 34.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
35. 35.❌ Arjun’s spam spotter was tested on 43 new messages and got 40 right. How many did it get wrong?
36. 36.📦 Tara collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
38. 38.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
39. 39.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
40. 40.📦 Rohan collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

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