Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 930 · 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.📦 Diya collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
3. 3.📦 Ishaan collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
6. 6.❌ Diya’s spam spotter was tested on 44 new messages and got 42 right. How many did it get wrong?
7. 7.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
8. 8.🎯 Saanvi’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
10. 10.🧪 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
11. 11.📦 Nisha collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
13. 13.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
14. 14.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 26 right. What is its accuracy in percent?
15. 15.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
17. 17.⚖️ 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?
18. 18.📦 Ishaan collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.📦 Ishaan collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
21. 21.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
22. 22.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
23. 23.❌ Vihaan’s leaf identifier was tested on 14 new leaf photos and got 11 right. How many did it get wrong?
24. 24.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 40 new leaf photos, how many should it get right?
25. 25.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
27. 27.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
28. 28.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
29. 29.❌ Aarav’s handwriting reader was tested on 49 new handwritten letters and got 48 right. How many did it get wrong?
30. 30.❌ Ananya’s leaf identifier was tested on 28 new leaf photos and got 19 right. How many did it get wrong?
31. 31.❌ Vihaan’s recycling sorter was tested on 17 new waste photos and got 16 right. How many did it get wrong?
32. 32.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
33. 33.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
36. 36.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 80 new fruit photos, how many should it get right?
37. 37.📋 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
38. 38.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
39. 39.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
40. 40.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos

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