Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 333 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
2. 2.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
3. 3.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
4. 4.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
5. 5.📦 Tara collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
7. 7.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
8. 8.📦 Diya collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
10. 10.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
11. 11.📦 Ishaan collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
12. 12.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
13. 13.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
14. 14.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
15. 15.❌ Meera’s leaf identifier was tested on 39 new leaf photos and got 36 right. How many did it get wrong?
16. 16.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
17. 17.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
18. 18.📦 Ananya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
19. 19.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
20. 20.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
21. 21.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
22. 22.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 31 right. How many percentage points more accurate is Model A?
23. 23.📋 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
24. 24.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
25. 25.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 30 new messages, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
28. 28.❌ Tara’s leaf identifier was tested on 27 new leaf photos and got 19 right. How many did it get wrong?
29. 29.📦 Kabir collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
31. 31.❌ Arjun’s leaf identifier was tested on 43 new leaf photos and got 34 right. How many did it get wrong?
32. 32.📦 Ishaan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
33. 33.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
34. 34.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
35. 35.📦 Aarav collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
36. 36.❌ Nisha’s fruit sorter was tested on 35 new fruit photos and got 29 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
38. 38.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
39. 39.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
40. 40.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again

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