Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 962 · 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 collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
3. 3.🧪 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
4. 4.📦 Arjun collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
5. 5.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
6. 6.❌ Arjun’s handwriting reader was tested on 34 new handwritten letters and got 29 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — pick a question to solve or work out the accuracy? (a) pick a question to solve (b) work out the accuracy
8. 8.📦 Vihaan collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
9. 9.❌ Vihaan’s recycling sorter was tested on 34 new waste photos and got 32 right. How many did it get wrong?
10. 10.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
11. 11.📋 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
12. 12.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
13. 13.🎯 Aarav’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
14. 14.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 40 new leaf photos, how many should it get right?
15. 15.📦 Saanvi collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
17. 17.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
18. 18.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
20. 20.📋 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
21. 21.🎯 Meera’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
22. 22.📦 Saanvi collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
24. 24.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
25. 25.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
26. 26.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 36 right and Model B got 34 right. How many percentage points more accurate is Model A?
27. 27.📦 Tara collected 160 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 — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
29. 29.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
31. 31.📦 Saanvi collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Diya’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
34. 34.🎯 Saanvi’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
36. 36.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 22 right. What is its accuracy in percent?
37. 37.📋 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
38. 38.🎯 Meera’s bird-song app is 70% accurate. If it is tested on 50 new bird songs, how many should it get right?
39. 39.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
40. 40.🎯 Ananya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?

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