Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 353 · 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.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
2. 2.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
4. 4.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
5. 5.📦 Arjun collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
7. 7.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
8. 8.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
9. 9.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
10. 10.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
11. 11.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
12. 12.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
13. 13.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
14. 14.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
16. 16.📦 Ishaan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.❌ Arjun’s leaf identifier was tested on 49 new leaf photos and got 48 right. How many did it get wrong?
18. 18.📦 Arjun collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
19. 19.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
20. 20.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
21. 21.❌ Aarav’s bird-song app was tested on 15 new bird songs and got 14 right. How many did it get wrong?
22. 22.❌ Kabir’s leaf identifier was tested on 27 new leaf photos and got 25 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
24. 24.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
25. 25.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
26. 26.📦 Kabir collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
27. 27.📦 Kabir collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
28. 28.❌ Rohan’s fruit sorter was tested on 40 new fruit photos and got 33 right. How many did it get wrong?
29. 29.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
31. 31.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
32. 32.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
33. 33.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
34. 34.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
35. 35.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
36. 36.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
37. 37.🎯 Kabir’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
38. 38.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
39. 39.📦 Diya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns

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