Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 466 · 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.📦 Nisha collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
4. 4.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
6. 6.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 43 right. What is its accuracy in percent?
7. 7.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
8. 8.📦 Diya collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
10. 10.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
11. 11.📦 Meera collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.📦 Aarav collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
14. 14.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
15. 15.📦 Diya collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
16. 16.❌ Ishaan’s fruit sorter was tested on 50 new fruit photos and got 48 right. How many did it get wrong?
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
18. 18.📋 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
19. 19.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
20. 20.🎯 Ananya’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
21. 21.📦 Arjun collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Ishaan’s fruit sorter was tested on 15 new fruit photos and got 12 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
24. 24.🎯 Kabir’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
25. 25.📦 Arjun collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
26. 26.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
28. 28.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 44 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
30. 30.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
31. 31.❌ Diya’s fruit sorter was tested on 48 new fruit photos and got 46 right. How many did it get wrong?
32. 32.📦 Rohan collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
34. 34.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 47 right and Model B got 33 right. How many percentage points more accurate is Model A?
35. 35.📦 Vihaan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
36. 36.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
37. 37.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
38. 38.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
39. 39.🎯 Rohan’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
40. 40.📦 Diya collected 160 labelled messages for a spam spotter 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