Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 350 · 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 handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
3. 3.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
4. 4.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
5. 5.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
6. 6.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
7. 7.🎯 Ananya’s handwriting reader was tested on 50 new handwritten letters and got 32 right. What is its accuracy in percent?
8. 8.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
9. 9.🎯 Kabir’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
10. 10.❌ Vihaan’s spam spotter was tested on 27 new messages and got 26 right. How many did it get wrong?
11. 11.🎯 Diya’s spam spotter was tested on 25 new messages and got 25 right. What is its accuracy in percent?
12. 12.🎯 Nisha’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
13. 13.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
15. 15.📋 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
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
17. 17.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
18. 18.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
19. 19.🎯 Saanvi’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
21. 21.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
22. 22.🎯 Nisha’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
23. 23.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
25. 25.🧪 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
26. 26.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
27. 27.🎯 Tara’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
28. 28.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
29. 29.❌ Saanvi’s recycling sorter was tested on 27 new waste photos and got 20 right. How many did it get wrong?
30. 30.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 47 right and Model B got 32 right. How many percentage points more accurate is Model A?
31. 31.📦 Kabir collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
33. 33.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
35. 35.📦 Arjun collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
37. 37.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
38. 38.📦 Meera collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
40. 40.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples

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