Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 113 · 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.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
2. 2.📦 Kabir collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
3. 3.🎯 Rohan’s fruit sorter was tested on 50 new fruit photos and got 48 right. What is its accuracy in percent?
4. 4.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
5. 5.🎯 Saanvi’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
6. 6.❌ Vihaan’s leaf identifier was tested on 21 new leaf photos and got 16 right. How many did it get wrong?
7. 7.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
8. 8.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
9. 9.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
11. 11.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 21 right. What is its accuracy in percent?
12. 12.❌ Vihaan’s handwriting reader was tested on 19 new handwritten letters and got 11 right. How many did it get wrong?
13. 13.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 15 right. How many percentage points more accurate is Model A?
14. 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
15. 15.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
16. 16.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
17. 17.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
18. 18.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
19. 19.🎯 Saanvi’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
20. 20.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 20 right. What is its accuracy in percent?
21. 21.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
22. 22.❌ Saanvi’s leaf identifier was tested on 32 new leaf photos and got 25 right. How many did it get wrong?
23. 23.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
25. 25.📋 Planning an AI project: which comes first — choose what to sort or correct bad labels? (a) choose what to sort (b) correct bad labels
26. 26.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
28. 28.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 45 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
30. 30.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
31. 31.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
32. 32.📋 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
33. 33.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
34. 34.🎯 Kabir’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
35. 35.❌ Meera’s leaf identifier was tested on 49 new leaf photos and got 40 right. How many did it get wrong?
36. 36.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
37. 37.📦 Kabir collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
39. 39.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve

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