Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 515 · 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.🎯 Meera’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
2. 2.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
3. 3.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
4. 4.🧪 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
5. 5.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
6. 6.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
7. 7.❌ Saanvi’s recycling sorter was tested on 20 new waste photos and got 15 right. How many did it get wrong?
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
9. 9.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
11. 11.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
12. 12.📦 Ananya collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
14. 14.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
15. 15.📦 Aarav collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
17. 17.❌ Nisha’s fruit sorter was tested on 34 new fruit photos and got 25 right. How many did it get wrong?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
19. 19.📦 Rohan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Saanvi’s handwriting reader is 80% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
21. 21.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
22. 22.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
23. 23.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
24. 24.📋 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
25. 25.❌ Vihaan’s recycling sorter was tested on 34 new waste photos and got 27 right. How many did it get wrong?
26. 26.📋 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
27. 27.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
28. 28.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
29. 29.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
30. 30.📦 Aarav collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.❌ Meera’s fruit sorter was tested on 31 new fruit photos and got 25 right. How many did it get wrong?
32. 32.📋 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
33. 33.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
34. 34.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
35. 35.❌ Aarav’s handwriting reader was tested on 38 new handwritten letters and got 30 right. How many did it get wrong?
36. 36.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
37. 37.❌ Tara’s recycling sorter was tested on 42 new waste photos and got 36 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
39. 39.❌ Diya’s recycling sorter was tested on 50 new waste photos and got 44 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students