Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 975 · 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.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
3. 3.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
4. 4.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
5. 5.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
6. 6.❌ Ishaan’s leaf identifier was tested on 38 new leaf photos and got 35 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
8. 8.🎯 Vihaan’s leaf identifier was tested on 50 new leaf photos and got 48 right. What is its accuracy in percent?
9. 9.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
11. 11.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
12. 12.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
14. 14.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
15. 15.📦 Tara collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Vihaan’s recycling sorter was tested on 25 new waste photos and got 18 right. What is its accuracy in percent?
17. 17.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 39 right and Model B got 37 right. How many percentage points more accurate is Model A?
18. 18.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
19. 19.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
20. 20.❌ Kabir’s handwriting reader was tested on 34 new handwritten letters and got 33 right. How many did it get wrong?
21. 21.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
22. 22.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
23. 23.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
24. 24.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
25. 25.❌ Ishaan’s handwriting reader was tested on 30 new handwritten letters and got 27 right. How many did it get wrong?
26. 26.📦 Aarav collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.❌ Diya’s leaf identifier was tested on 19 new leaf photos and got 11 right. How many did it get wrong?
28. 28.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
29. 29.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
31. 31.⚖️ 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?
32. 32.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
33. 33.🎯 Tara’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
35. 35.❌ Saanvi’s spam spotter was tested on 36 new messages and got 30 right. How many did it get wrong?
36. 36.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
37. 37.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 17 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
39. 39.🎯 Kabir’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
40. 40.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker

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