Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 819 · 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 — split train and test or recheck every label? (a) split train and test (b) recheck every label
2. 2.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
3. 3.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
4. 4.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
5. 5.❌ Ananya’s leaf identifier was tested on 45 new leaf photos and got 42 right. How many did it get wrong?
6. 6.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
7. 7.🧪 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
8. 8.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
9. 9.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
11. 11.📦 Tara collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
13. 13.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
14. 14.📦 Arjun collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
15. 15.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
16. 16.❌ Vihaan’s recycling sorter was tested on 33 new waste photos and got 30 right. How many did it get wrong?
17. 17.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 40 new leaf photos, how many should it get right?
18. 18.📋 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
19. 19.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
20. 20.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
21. 21.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
22. 22.❌ Saanvi’s bird-song app was tested on 25 new bird songs and got 17 right. How many did it get wrong?
23. 23.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
25. 25.❌ Diya’s fruit sorter was tested on 12 new fruit photos and got 10 right. How many did it get wrong?
26. 26.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
27. 27.❌ Tara’s bird-song app was tested on 34 new bird songs and got 33 right. How many did it get wrong?
28. 28.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
29. 29.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
30. 30.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
31. 31.❌ Kabir’s handwriting reader was tested on 17 new handwritten letters and got 13 right. How many did it get wrong?
32. 32.📋 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
33. 33.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
34. 34.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
35. 35.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
36. 36.❌ Aarav’s handwriting reader was tested on 16 new handwritten letters and got 15 right. How many did it get wrong?
37. 37.📋 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
38. 38.📋 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
39. 39.📋 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
40. 40.📦 Rohan collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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