Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 5 · 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.❌ Tara’s fruit sorter was tested on 36 new fruit photos and got 32 right. How many did it get wrong?
2. 2.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
3. 3.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
4. 4.📦 Nisha collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
5. 5.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
6. 6.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
7. 7.🎯 Arjun’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
10. 10.🧪 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
11. 11.📦 Aarav collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
14. 14.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
15. 15.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 15 right. What is its accuracy in percent?
16. 16.📦 Vihaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
18. 18.📋 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
19. 19.📦 Tara collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
20. 20.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
21. 21.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
22. 22.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
23. 23.🎯 Diya’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
24. 24.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
25. 25.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
26. 26.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
27. 27.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
28. 28.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
29. 29.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
30. 30.🎯 Tara’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
31. 31.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
32. 32.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
34. 34.❌ Vihaan’s leaf identifier was tested on 46 new leaf photos and got 37 right. How many did it get wrong?
35. 35.📋 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
36. 36.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
37. 37.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
38. 38.❌ Rohan’s leaf identifier was tested on 33 new leaf photos and got 31 right. How many did it get wrong?
39. 39.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy

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