Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 441 · 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.❌ Vihaan’s handwriting reader was tested on 43 new handwritten letters and got 39 right. How many did it get wrong?
2. 2.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
4. 4.❌ Ishaan’s leaf identifier was tested on 29 new leaf photos and got 26 right. How many did it get wrong?
5. 5.📦 Vihaan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 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
7. 7.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
8. 8.❌ Vihaan’s recycling sorter was tested on 25 new waste photos and got 19 right. How many did it get wrong?
9. 9.📋 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
10. 10.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
11. 11.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
12. 12.❌ Kabir’s recycling sorter was tested on 19 new waste photos and got 13 right. How many did it get wrong?
13. 13.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
14. 14.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
15. 15.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
16. 16.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
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.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 47 right. How many percentage points more accurate is Model A?
19. 19.📦 Kabir collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Ananya’s recycling sorter was tested on 50 new waste photos and got 36 right. What is its accuracy in percent?
21. 21.❌ Rohan’s leaf identifier was tested on 28 new leaf photos and got 20 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
23. 23.🧪 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
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
25. 25.📋 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
26. 26.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
27. 27.❌ Diya’s spam spotter was tested on 41 new messages and got 34 right. How many did it get wrong?
28. 28.📋 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
29. 29.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
30. 30.📦 Tara collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
32. 32.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
33. 33.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
35. 35.❌ Arjun’s spam spotter was tested on 19 new messages and got 17 right. How many did it get wrong?
36. 36.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
37. 37.❌ Rohan’s fruit sorter was tested on 34 new fruit photos and got 32 right. How many did it get wrong?
38. 38.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
39. 39.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns

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