Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 866 · 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 louder speaker (d) a new colour screen
2. 2.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
4. 4.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
5. 5.❌ Vihaan’s recycling sorter was tested on 40 new waste photos and got 31 right. How many did it get wrong?
6. 6.🎯 Arjun’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
7. 7.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
8. 8.📋 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
9. 9.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
10. 10.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
12. 12.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
13. 13.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
16. 16.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
18. 18.❌ Aarav’s spam spotter was tested on 18 new messages and got 16 right. How many did it get wrong?
19. 19.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
20. 20.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
21. 21.🎯 Rohan’s recycling sorter was tested on 50 new waste photos and got 47 right. What is its accuracy in percent?
22. 22.🎯 Ananya’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
23. 23.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
24. 24.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 34 right and Model B got 28 right. How many percentage points more accurate is Model A?
25. 25.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
26. 26.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
27. 27.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
28. 28.❌ Tara’s handwriting reader was tested on 32 new handwritten letters and got 25 right. How many did it get wrong?
29. 29.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
30. 30.📦 Vihaan collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
32. 32.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
34. 34.🎯 Rohan’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
35. 35.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 40 right. How many percentage points more accurate is Model A?
36. 36.❌ Arjun’s bird-song app was tested on 32 new bird songs and got 30 right. How many did it get wrong?
37. 37.🎯 Ananya’s spam spotter was tested on 50 new messages and got 32 right. What is its accuracy in percent?
38. 38.📦 Tara collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
40. 40.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy

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