Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 721 · 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 — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
3. 3.📋 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
4. 4.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
5. 5.📦 Kabir collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
9. 9.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
11. 11.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
13. 13.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
14. 14.🎯 Vihaan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
16. 16.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
17. 17.🎯 Vihaan’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
19. 19.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
20. 20.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
21. 21.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 70 new waste photos, how many should it get right?
22. 22.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
23. 23.📦 Tara collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
25. 25.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
26. 26.📦 Vihaan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
27. 27.❌ Kabir’s spam spotter was tested on 38 new messages and got 32 right. How many did it get wrong?
28. 28.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
29. 29.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
31. 31.❌ Ananya’s spam spotter was tested on 37 new messages and got 36 right. How many did it get wrong?
32. 32.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
34. 34.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
35. 35.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
37. 37.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
38. 38.❌ Vihaan’s bird-song app was tested on 44 new bird songs and got 42 right. How many did it get wrong?
39. 39.❌ Arjun’s fruit sorter was tested on 40 new fruit photos and got 39 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos

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