Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 258 · 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.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
2. 2.❌ Ishaan’s spam spotter was tested on 47 new messages and got 41 right. How many did it get wrong?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
4. 4.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
5. 5.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
6. 6.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
7. 7.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
8. 8.🎯 Arjun’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
10. 10.❌ Saanvi’s recycling sorter was tested on 17 new waste photos and got 15 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
12. 12.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 38 right and Model B got 31 right. How many percentage points more accurate is Model A?
13. 13.🎯 Rohan’s leaf identifier was tested on 50 new leaf photos and got 38 right. What is its accuracy in percent?
14. 14.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
15. 15.📦 Aarav collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
18. 18.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
19. 19.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
20. 20.❌ Diya’s recycling sorter was tested on 13 new waste photos and got 11 right. How many did it get wrong?
21. 21.📋 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
22. 22.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
23. 23.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
24. 24.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
25. 25.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
26. 26.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
27. 27.❌ Meera’s fruit sorter was tested on 29 new fruit photos and got 22 right. How many did it get wrong?
28. 28.❌ Tara’s recycling sorter was tested on 28 new waste photos and got 25 right. How many did it get wrong?
29. 29.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
30. 30.❌ Diya’s recycling sorter was tested on 12 new waste photos and got 10 right. How many did it get wrong?
31. 31.🎯 Ishaan’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
32. 32.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
34. 34.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
35. 35.🎯 Rohan’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
37. 37.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
38. 38.📦 Aarav collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
39. 39.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
40. 40.📋 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

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