Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 150 · 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.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
2. 2.🎯 Ishaan’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
3. 3.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) correct + total (d) total × 2
4. 4.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
5. 5.📦 Rohan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
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) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
8. 8.🎯 Vihaan’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
9. 9.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
10. 10.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
11. 11.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
14. 14.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
15. 15.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
17. 17.📋 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
18. 18.🎯 Tara’s bird-song app was tested on 25 new bird songs and got 22 right. What is its accuracy in percent?
19. 19.🎯 Vihaan’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
21. 21.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
22. 22.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 50 new fruit photos, how many should it get right?
23. 23.❌ Kabir’s spam spotter was tested on 32 new messages and got 25 right. How many did it get wrong?
24. 24.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
25. 25.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
26. 26.🎯 Ishaan’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
28. 28.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
29. 29.🎯 Nisha’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
30. 30.❌ Diya’s fruit sorter was tested on 11 new fruit photos and got 10 right. How many did it get wrong?
31. 31.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 40 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
33. 33.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
34. 34.🎯 Meera’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
35. 35.📦 Vihaan collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Nisha’s handwriting reader was tested on 30 new handwritten letters and got 28 right. How many did it get wrong?
37. 37.📦 Saanvi collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.📦 Aarav collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
40. 40.❌ Nisha’s handwriting reader was tested on 39 new handwritten letters and got 35 right. How many did it get wrong?

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