Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 958 · 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.🎯 Diya’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
2. 2.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
4. 4.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
5. 5.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
6. 6.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
7. 7.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
8. 8.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
9. 9.📦 Vihaan collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
10. 10.📋 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
11. 11.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
12. 12.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
13. 13.📦 Aarav collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Meera’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
16. 16.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
17. 17.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
18. 18.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
19. 19.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
20. 20.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
22. 22.🎯 Ishaan’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
23. 23.📦 Tara collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
24. 24.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
27. 27.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
28. 28.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 31 right and Model B got 25 right. How many percentage points more accurate is Model A?
29. 29.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
30. 30.🎯 Saanvi’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
31. 31.❌ Aarav’s spam spotter was tested on 39 new messages and got 35 right. How many did it get wrong?
32. 32.🎯 Kabir’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
33. 33.🎯 Kabir’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 — label each example or calculate percent right? (a) label each example (b) calculate percent right
35. 35.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
36. 36.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
37. 37.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
38. 38.❌ Ishaan’s fruit sorter was tested on 15 new fruit photos and got 11 right. How many did it get wrong?
39. 39.❌ Meera’s fruit sorter was tested on 27 new fruit photos and got 25 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort

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