Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 947 · 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.🎯 Ishaan’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
2. 2.🧪 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
3. 3.🧪 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 bigger (d) to make it faster
4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
5. 5.❌ Nisha’s bird-song app was tested on 25 new bird songs and got 17 right. How many did it get wrong?
6. 6.📦 Meera collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
8. 8.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
9. 9.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
10. 10.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
12. 12.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 44 right and Model B got 40 right. How many percentage points more accurate is Model A?
13. 13.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
15. 15.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
16. 16.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
17. 17.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
18. 18.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
19. 19.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
20. 20.🎯 Vihaan’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
21. 21.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
22. 22.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
23. 23.📦 Ishaan collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
24. 24.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
25. 25.❌ Rohan’s bird-song app was tested on 45 new bird songs and got 39 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
27. 27.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
29. 29.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
30. 30.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 13 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
32. 32.📦 Saanvi collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
34. 34.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
35. 35.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 35 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
37. 37.📦 Tara collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.📦 Aarav collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
40. 40.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?

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