Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 303 · 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.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 38 right. How many percentage points more accurate is Model A?
2. 2.📦 Meera collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 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
4. 4.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
5. 5.❌ Arjun’s spam spotter was tested on 37 new messages and got 29 right. How many did it get wrong?
6. 6.📦 Ananya collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
9. 9.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
10. 10.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
12. 12.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?
13. 13.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 46 right. How many percentage points more accurate is Model A?
14. 14.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
15. 15.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
16. 16.❌ Tara’s handwriting reader was tested on 27 new handwritten letters and got 25 right. How many did it get wrong?
17. 17.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 10 new leaf photos, how many should it get right?
18. 18.📋 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
19. 19.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
20. 20.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 12 right and Model B got 11 right. How many percentage points more accurate is Model A?
21. 21.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 47 right and Model B got 41 right. How many percentage points more accurate is Model A?
22. 22.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
23. 23.📦 Nisha collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
25. 25.📦 Meera collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
28. 28.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
30. 30.❌ Rohan’s handwriting reader was tested on 35 new handwritten letters and got 33 right. How many did it get wrong?
31. 31.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
33. 33.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
34. 34.📋 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
35. 35.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
36. 36.❌ Diya’s fruit sorter was tested on 42 new fruit photos and got 33 right. How many did it get wrong?
37. 37.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 42 right. How many percentage points more accurate is Model A?
38. 38.📦 Nisha collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Meera’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
40. 40.🎯 Diya’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?

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