Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 27 · 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.❌ Ananya’s bird-song app was tested on 29 new bird songs and got 24 right. How many did it get wrong?
2. 2.📦 Meera collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
4. 4.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
6. 6.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
7. 7.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
8. 8.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
9. 9.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
10. 10.📦 Ananya collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.❌ Ishaan’s leaf identifier was tested on 15 new leaf photos and got 10 right. How many did it get wrong?
12. 12.❌ Aarav’s bird-song app was tested on 44 new bird songs and got 37 right. How many did it get wrong?
13. 13.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
14. 14.🎯 Tara’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
15. 15.❌ Ishaan’s handwriting reader was tested on 41 new handwritten letters and got 35 right. How many did it get wrong?
16. 16.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
18. 18.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
20. 20.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
21. 21.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 27 right. How many percentage points more accurate is Model A?
22. 22.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
23. 23.❌ Nisha’s leaf identifier was tested on 18 new leaf photos and got 17 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
25. 25.📦 Diya collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
26. 26.📋 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
27. 27.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
28. 28.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
29. 29.❌ Saanvi’s fruit sorter was tested on 20 new fruit photos and got 14 right. How many did it get wrong?
30. 30.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
31. 31.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
32. 32.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
33. 33.❌ Tara’s bird-song app was tested on 27 new bird songs and got 23 right. How many did it get wrong?
34. 34.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
35. 35.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
36. 36.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
37. 37.🎯 Saanvi’s recycling sorter is 80% 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 — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
39. 39.📦 Aarav collected 130 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 — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type

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