Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 12 · 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 make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
2. 2.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
3. 3.🎯 Tara’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
4. 4.🎯 Diya’s recycling sorter was tested on 50 new waste photos and got 50 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
6. 6.❌ Meera’s spam spotter was tested on 19 new messages and got 18 right. How many did it get wrong?
7. 7.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
9. 9.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
11. 11.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
12. 12.🎯 Rohan’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
14. 14.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
16. 16.📦 Vihaan collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
19. 19.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
21. 21.❌ Meera’s bird-song app was tested on 18 new bird songs and got 13 right. How many did it get wrong?
22. 22.🎯 Ishaan’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
23. 23.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
25. 25.📦 Tara collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
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.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
28. 28.📦 Diya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
30. 30.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
31. 31.📋 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
32. 32.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
33. 33.❌ Tara’s spam spotter was tested on 14 new messages and got 11 right. How many did it get wrong?
34. 34.❌ Tara’s spam spotter was tested on 23 new messages and got 20 right. How many did it get wrong?
35. 35.🎯 Meera’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
36. 36.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
37. 37.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
38. 38.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
40. 40.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 26 right. What is its accuracy in percent?

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