Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 732 · 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 — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
2. 2.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
4. 4.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
5. 5.❌ Diya’s bird-song app was tested on 27 new bird songs and got 26 right. How many did it get wrong?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
7. 7.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
8. 8.❌ Saanvi’s bird-song app was tested on 39 new bird songs and got 33 right. How many did it get wrong?
9. 9.📦 Ishaan collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
11. 11.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
12. 12.📦 Kabir collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
13. 13.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
14. 14.🎯 Rohan’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
16. 16.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
17. 17.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
18. 18.📦 Rohan collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
20. 20.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
21. 21.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 43 right and Model B got 41 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
23. 23.📦 Arjun collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.❌ Vihaan’s spam spotter was tested on 19 new messages and got 18 right. How many did it get wrong?
25. 25.📦 Vihaan collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 25 right. What is its accuracy in percent?
27. 27.📋 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
28. 28.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
29. 29.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
30. 30.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
32. 32.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 44 right. How many percentage points more accurate is Model A?
33. 33.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
34. 34.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
35. 35.❌ Meera’s bird-song app was tested on 34 new bird songs and got 25 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
37. 37.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
39. 39.❌ Vihaan’s spam spotter was tested on 24 new messages and got 17 right. How many did it get wrong?
40. 40.❌ Kabir’s leaf identifier was tested on 29 new leaf photos and got 25 right. How many did it get wrong?

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