Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 152 · 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 handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
3. 3.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
4. 4.📦 Diya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
7. 7.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 41 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
9. 9.🎯 Aarav’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
10. 10.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
11. 11.🧪 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
12. 12.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
13. 13.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
14. 14.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
15. 15.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
17. 17.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
18. 18.📦 Nisha collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📦 Ananya collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
21. 21.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
22. 22.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
23. 23.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
24. 24.📦 Arjun collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
25. 25.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
26. 26.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 38 right and Model B got 30 right. How many percentage points more accurate is Model A?
27. 27.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
28. 28.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
29. 29.🎯 Aarav’s spam spotter was tested on 50 new messages and got 42 right. What is its accuracy in percent?
30. 30.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
31. 31.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
32. 32.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
33. 33.📦 Kabir collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
35. 35.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
36. 36.🎯 Aarav’s fruit sorter was tested on 50 new fruit photos and got 39 right. What is its accuracy in percent?
37. 37.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 38 right and Model B got 35 right. How many percentage points more accurate is Model A?
38. 38.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
40. 40.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples

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