Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 647 · 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.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
2. 2.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
3. 3.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
4. 4.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
5. 5.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
6. 6.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
7. 7.❌ Saanvi’s fruit sorter was tested on 32 new fruit photos and got 24 right. How many did it get wrong?
8. 8.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
9. 9.🧪 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
10. 10.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
11. 11.📦 Nisha collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
13. 13.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
14. 14.❌ Diya’s fruit sorter was tested on 15 new fruit photos and got 10 right. How many did it get wrong?
15. 15.❌ Rohan’s spam spotter was tested on 24 new messages and got 18 right. How many did it get wrong?
16. 16.📦 Vihaan collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Meera collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?
19. 19.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 70 new fruit photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
21. 21.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
22. 22.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
23. 23.📋 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
24. 24.📦 Ananya collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
26. 26.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
27. 27.📦 Diya collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
29. 29.❌ Tara’s fruit sorter was tested on 31 new fruit photos and got 29 right. How many did it get wrong?
30. 30.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
31. 31.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 11 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
33. 33.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
34. 34.🎯 Nisha’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
35. 35.🎯 Rohan’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
36. 36.❌ Ananya’s fruit sorter was tested on 48 new fruit photos and got 42 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
38. 38.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
39. 39.📋 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
40. 40.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type

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