Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 720 · 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.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
2. 2.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
3. 3.📦 Vihaan collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
4. 4.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
5. 5.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
6. 6.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
8. 8.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
9. 9.🎯 Kabir’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
10. 10.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 48 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
13. 13.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
14. 14.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
16. 16.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
17. 17.📦 Aarav collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
19. 19.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
20. 20.🎯 Nisha’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
22. 22.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 16 right. What is its accuracy in percent?
23. 23.❌ Ananya’s leaf identifier was tested on 27 new leaf photos and got 24 right. How many did it get wrong?
24. 24.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
25. 25.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
26. 26.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
27. 27.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 47 right. How many percentage points more accurate is Model A?
28. 28.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
29. 29.❌ Vihaan’s handwriting reader was tested on 30 new handwritten letters and got 26 right. How many did it get wrong?
30. 30.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
31. 31.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 10 right. How many percentage points more accurate is Model A?
32. 32.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
33. 33.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
34. 34.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
35. 35.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
37. 37.❌ Diya’s recycling sorter was tested on 30 new waste photos and got 22 right. How many did it get wrong?
38. 38.🎯 Saanvi’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
39. 39.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
40. 40.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 16 right. How many percentage points more accurate is Model A?

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