Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 94 · 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.🎯 Rohan’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
2. 2.🎯 Aarav’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
3. 3.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
4. 4.📦 Arjun collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
6. 6.❌ Nisha’s bird-song app was tested on 49 new bird songs and got 43 right. How many did it get wrong?
7. 7.🎯 Nisha’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
8. 8.❌ Ananya’s recycling sorter was tested on 22 new waste photos and got 18 right. How many did it get wrong?
9. 9.❌ Meera’s recycling sorter was tested on 18 new waste photos and got 10 right. How many did it get wrong?
10. 10.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
11. 11.❌ Rohan’s bird-song app was tested on 24 new bird songs and got 17 right. How many did it get wrong?
12. 12.📋 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
13. 13.🎯 Vihaan’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
15. 15.❌ Kabir’s leaf identifier was tested on 12 new leaf photos and got 11 right. How many did it get wrong?
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
17. 17.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
18. 18.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
19. 19.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
20. 20.🧪 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
21. 21.📦 Diya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
22. 22.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
23. 23.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
24. 24.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
25. 25.🎯 Nisha’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
26. 26.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?
27. 27.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 44 right and Model B got 35 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
29. 29.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
30. 30.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
31. 31.❌ Aarav’s leaf identifier was tested on 24 new leaf photos and got 19 right. How many did it get wrong?
32. 32.❌ Aarav’s recycling sorter was tested on 30 new waste photos and got 21 right. How many did it get wrong?
33. 33.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
34. 34.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
35. 35.📦 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?
36. 36.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
37. 37.📦 Meera collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.🎯 Arjun’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
39. 39.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 80 new waste photos, how many should it get right?
40. 40.❌ Diya’s spam spotter was tested on 21 new messages and got 16 right. How many did it get wrong?

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