Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 413 · 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.📦 Vihaan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.❌ Kabir’s handwriting reader was tested on 16 new handwritten letters and got 12 right. How many did it get wrong?
3. 3.📦 Kabir collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
5. 5.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
6. 6.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
7. 7.🧪 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
8. 8.❌ Ishaan’s handwriting reader was tested on 14 new handwritten letters and got 10 right. How many did it get wrong?
9. 9.📦 Ananya collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 31 right and Model B got 27 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
12. 12.📦 Tara collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
15. 15.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 19 right. How many percentage points more accurate is Model A?
16. 16.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
17. 17.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
20. 20.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
21. 21.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
22. 22.🎯 Diya’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
23. 23.🎯 Meera’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
24. 24.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 37 right. What is its accuracy in percent?
25. 25.❌ Saanvi’s handwriting reader was tested on 48 new handwritten letters and got 44 right. How many did it get wrong?
26. 26.❌ Arjun’s bird-song app was tested on 14 new bird songs and got 13 right. How many did it get wrong?
27. 27.📦 Nisha collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
29. 29.🎯 Diya’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
30. 30.📦 Nisha collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📦 Nisha collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.❌ Rohan’s leaf identifier was tested on 22 new leaf photos and got 16 right. How many did it get wrong?
33. 33.📋 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
34. 34.❌ Arjun’s leaf identifier was tested on 40 new leaf photos and got 39 right. How many did it get wrong?
35. 35.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
36. 36.🎯 Aarav’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
37. 37.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
38. 38.❌ Diya’s handwriting reader was tested on 50 new handwritten letters and got 45 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
40. 40.📦 Kabir collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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