Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 81 · 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) a secret password (c) paper and examples (d) only a big robot
2. 2.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
4. 4.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
5. 5.❌ Diya’s fruit sorter was tested on 39 new fruit photos and got 31 right. How many did it get wrong?
6. 6.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
7. 7.❌ Vihaan’s leaf identifier was tested on 35 new leaf photos and got 28 right. How many did it get wrong?
8. 8.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
9. 9.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 46 right. How many percentage points more accurate is Model A?
10. 10.📦 Tara collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
11. 11.❌ Meera’s bird-song app was tested on 49 new bird songs and got 46 right. How many did it get wrong?
12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
13. 13.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
14. 14.📋 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
15. 15.📦 Rohan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📦 Arjun collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.📦 Kabir collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
18. 18.🎯 Vihaan’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
19. 19.❌ Ishaan’s handwriting reader was tested on 43 new handwritten letters and got 41 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
21. 21.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
23. 23.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 37 right and Model B got 33 right. How many percentage points more accurate is Model A?
24. 24.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
25. 25.❌ Kabir’s leaf identifier was tested on 40 new leaf photos and got 39 right. How many did it get wrong?
26. 26.📦 Ananya collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
28. 28.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 35 right. What is its accuracy in percent?
29. 29.🎯 Vihaan’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
30. 30.📦 Aarav collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📦 Arjun collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
33. 33.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
35. 35.❌ Arjun’s handwriting reader was tested on 48 new handwritten letters and got 41 right. How many did it get wrong?
36. 36.❌ Ishaan’s handwriting reader was tested on 12 new handwritten letters and got 11 right. How many did it get wrong?
37. 37.❌ Vihaan’s fruit sorter was tested on 20 new fruit photos and got 14 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
39. 39.📦 Tara collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type

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