Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 719 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
2. 2.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
3. 3.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
4. 4.🎯 Saanvi’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
6. 6.❌ Kabir’s handwriting reader was tested on 41 new handwritten letters and got 36 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
8. 8.🎯 Nisha’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
10. 10.📦 Rohan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
12. 12.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
13. 13.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
14. 14.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
15. 15.📦 Aarav collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
17. 17.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
18. 18.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
19. 19.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
20. 20.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
21. 21.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
22. 22.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
23. 23.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 14 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
25. 25.🧪 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
26. 26.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 15 right. What is its accuracy in percent?
27. 27.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
28. 28.❌ Diya’s leaf identifier was tested on 17 new leaf photos and got 11 right. How many did it get wrong?
29. 29.🎯 Diya’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
30. 30.📦 Tara collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.🎯 Tara’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
32. 32.❌ Ishaan’s bird-song app was tested on 26 new bird songs and got 22 right. How many did it get wrong?
33. 33.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 32 right. How many percentage points more accurate is Model A?
34. 34.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
35. 35.📦 Kabir collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
37. 37.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
38. 38.❌ Vihaan’s fruit sorter was tested on 43 new fruit photos and got 35 right. How many did it get wrong?
39. 39.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
40. 40.🎯 Kabir’s spam spotter is 70% accurate. If it is tested on 10 new messages, how many should it get right?

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