Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 960 · 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.📋 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
2. 2.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
3. 3.📦 Vihaan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
5. 5.📋 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
6. 6.🧪 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 save paper (d) to make it bigger
7. 7.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 70 new fruit photos, how many should it get right?
8. 8.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
10. 10.❌ Kabir’s recycling sorter was tested on 46 new waste photos and got 39 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
12. 12.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
14. 14.❌ Nisha’s leaf identifier was tested on 25 new leaf photos and got 19 right. How many did it get wrong?
15. 15.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 25 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
17. 17.❌ Arjun’s fruit sorter was tested on 16 new fruit photos and got 12 right. How many did it get wrong?
18. 18.📦 Tara collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
21. 21.📦 Arjun collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.📦 Nisha collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
23. 23.❌ Ishaan’s handwriting reader was tested on 42 new handwritten letters and got 35 right. How many did it get wrong?
24. 24.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
25. 25.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 40 right and Model B got 32 right. How many percentage points more accurate is Model A?
26. 26.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
27. 27.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
28. 28.📋 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
29. 29.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
30. 30.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 47 right and Model B got 32 right. How many percentage points more accurate is Model A?
31. 31.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
32. 32.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
33. 33.📦 Rohan collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.⚖️ 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?
35. 35.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
36. 36.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
37. 37.❌ Arjun’s leaf identifier was tested on 18 new leaf photos and got 15 right. How many did it get wrong?
38. 38.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
40. 40.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test

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