Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 448 · 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.🎯 Arjun’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
2. 2.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
5. 5.🎯 Rohan’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
6. 6.📦 Vihaan collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
8. 8.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
9. 9.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
10. 10.🎯 Arjun’s bird-song app was tested on 50 new bird songs and got 39 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
12. 12.📦 Diya collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
13. 13.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
14. 14.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
15. 15.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
16. 16.📦 Meera collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
18. 18.❌ Vihaan’s recycling sorter was tested on 22 new waste photos and got 20 right. How many did it get wrong?
19. 19.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
20. 20.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 14 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
22. 22.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
23. 23.❌ Kabir’s fruit sorter was tested on 28 new fruit photos and got 20 right. How many did it get wrong?
24. 24.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
25. 25.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 50 new bird songs, how many should it get right?
26. 26.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
27. 27.❌ Rohan’s spam spotter was tested on 40 new messages and got 38 right. How many did it get wrong?
28. 28.📦 Diya collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.🎯 Rohan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
30. 30.❌ Tara’s spam spotter was tested on 39 new messages and got 38 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
32. 32.📦 Ananya collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 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
34. 34.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 43 right and Model B got 34 right. How many percentage points more accurate is Model A?
35. 35.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
36. 36.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 41 right. How many percentage points more accurate is Model A?
37. 37.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
38. 38.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
40. 40.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?

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