Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 11 · 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.🧪 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
2. 2.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
3. 3.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
4. 4.🧪 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 save paper (d) to make it bigger
5. 5.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
6. 6.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
7. 7.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
8. 8.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
9. 9.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
10. 10.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
11. 11.🧪 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
12. 12.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
13. 13.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
15. 15.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
16. 16.❌ Aarav’s bird-song app was tested on 32 new bird songs and got 29 right. How many did it get wrong?
17. 17.📦 Tara collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
19. 19.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
20. 20.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
22. 22.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
23. 23.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
24. 24.❌ Kabir’s handwriting reader was tested on 40 new handwritten letters and got 35 right. How many did it get wrong?
25. 25.📦 Meera collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Saanvi’s leaf identifier was tested on 15 new leaf photos and got 11 right. How many did it get wrong?
27. 27.📦 Aarav collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
30. 30.🎯 Meera’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
31. 31.🎯 Meera’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
32. 32.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
34. 34.📦 Vihaan collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Nisha collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
37. 37.❌ Aarav’s handwriting reader was tested on 24 new handwritten letters and got 18 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
39. 39.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 12 right and Model B got 11 right. How many percentage points more accurate is Model A?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve

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