Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 980 · 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.❌ Ishaan’s fruit sorter was tested on 16 new fruit photos and got 12 right. How many did it get wrong?
2. 2.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
3. 3.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
5. 5.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
7. 7.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
8. 8.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
9. 9.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
10. 10.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
11. 11.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
13. 13.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
14. 14.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
15. 15.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
16. 16.🧪 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
17. 17.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
18. 18.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 35 right. How many percentage points more accurate is Model A?
19. 19.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
20. 20.📦 Rohan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
21. 21.📋 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
22. 22.❌ Saanvi’s recycling sorter was tested on 20 new waste photos and got 19 right. How many did it get wrong?
23. 23.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
24. 24.❌ Diya’s fruit sorter was tested on 30 new fruit photos and got 23 right. How many did it get wrong?
25. 25.📋 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
26. 26.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
27. 27.❌ Kabir’s leaf identifier was tested on 43 new leaf photos and got 42 right. How many did it get wrong?
28. 28.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
29. 29.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
31. 31.📦 Tara collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
33. 33.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
35. 35.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
36. 36.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
37. 37.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 23 right. What is its accuracy in percent?
38. 38.❌ Nisha’s bird-song app was tested on 22 new bird songs and got 16 right. How many did it get wrong?
39. 39.📦 Vihaan collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
40. 40.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot

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