Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 52 · 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 — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
3. 3.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
4. 4.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
6. 6.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
7. 7.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
8. 8.📦 Saanvi collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.❌ Ishaan’s fruit sorter was tested on 28 new fruit photos and got 25 right. How many did it get wrong?
10. 10.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
11. 11.🎯 Vihaan’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
13. 13.📦 Saanvi collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 31 right. What is its accuracy in percent?
15. 15.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
16. 16.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
17. 17.📦 Saanvi collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
18. 18.🧪 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
19. 19.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
20. 20.🎯 Ananya’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
21. 21.📦 Ishaan collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 11 right. How many percentage points more accurate is Model A?
23. 23.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 70 new bird songs, how many should it get right?
24. 24.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 27 right and Model B got 26 right. How many percentage points more accurate is Model A?
25. 25.🎯 Arjun’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
26. 26.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
27. 27.📦 Vihaan collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 26 right. What is its accuracy in percent?
29. 29.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 47 right. What is its accuracy in percent?
30. 30.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
31. 31.🎯 Ishaan’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
32. 32.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
33. 33.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
34. 34.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
36. 36.📦 Nisha collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
38. 38.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
39. 39.🎯 Arjun’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
40. 40.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?

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