Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 616 · 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.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
2. 2.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
4. 4.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 43 right and Model B got 32 right. How many percentage points more accurate is Model A?
5. 5.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
6. 6.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 37 right and Model B got 35 right. How many percentage points more accurate is Model A?
7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
8. 8.📦 Diya collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
10. 10.📋 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
11. 11.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
12. 12.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
13. 13.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
14. 14.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
15. 15.❌ Nisha’s leaf identifier was tested on 45 new leaf photos and got 43 right. How many did it get wrong?
16. 16.📦 Rohan collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
18. 18.🎯 Rohan’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
19. 19.🧪 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
20. 20.❌ Ishaan’s recycling sorter was tested on 24 new waste photos and got 15 right. How many did it get wrong?
21. 21.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
22. 22.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
23. 23.❌ Ananya’s handwriting reader was tested on 37 new handwritten letters and got 31 right. How many did it get wrong?
24. 24.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
26. 26.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
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.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 29 right and Model B got 26 right. How many percentage points more accurate is Model A?
29. 29.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
30. 30.❌ Diya’s recycling sorter was tested on 25 new waste photos and got 19 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
32. 32.📦 Ishaan collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
34. 34.🎯 Diya’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
36. 36.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
37. 37.📋 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
38. 38.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 33 right and Model B got 26 right. How many percentage points more accurate is Model A?
39. 39.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
40. 40.📦 Nisha collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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