Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 883 · 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 — label each example or recheck every label? (a) label each example (b) recheck every label
2. 2.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
3. 3.📦 Nisha collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
4. 4.🎯 Saanvi’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
5. 5.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
6. 6.❌ Ishaan’s spam spotter was tested on 40 new messages and got 36 right. How many did it get wrong?
7. 7.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
8. 8.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
9. 9.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
10. 10.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
11. 11.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
12. 12.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 38 right. What is its accuracy in percent?
13. 13.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
14. 14.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
15. 15.📦 Kabir collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
17. 17.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
18. 18.📋 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
19. 19.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
21. 21.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
22. 22.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
23. 23.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
24. 24.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
25. 25.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
26. 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
27. 27.📦 Kabir collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
28. 28.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
30. 30.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
31. 31.❌ Ananya’s bird-song app was tested on 27 new bird songs and got 19 right. How many did it get wrong?
32. 32.❌ Ananya’s recycling sorter was tested on 22 new waste photos and got 20 right. How many did it get wrong?
33. 33.📦 Saanvi collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
34. 34.❌ Nisha’s spam spotter was tested on 47 new messages and got 46 right. How many did it get wrong?
35. 35.🎯 Kabir’s spam spotter was tested on 50 new messages and got 30 right. What is its accuracy in percent?
36. 36.📦 Tara collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
37. 37.📦 Aarav collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
39. 39.❌ Kabir’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples

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