Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 422 · 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.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
2. 2.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
3. 3.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
5. 5.📦 Aarav collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
6. 6.🎯 Saanvi’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
7. 7.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
9. 9.🎯 Rohan’s bird-song app was tested on 20 new bird songs and got 10 right. What is its accuracy in percent?
10. 10.🎯 Nisha’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
11. 11.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
12. 12.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
13. 13.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
14. 14.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 47 right and Model B got 44 right. How many percentage points more accurate is Model A?
15. 15.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
16. 16.🎯 Aarav’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
17. 17.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 22 right and Model B got 17 right. How many percentage points more accurate is Model A?
18. 18.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
19. 19.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
20. 20.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
22. 22.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
23. 23.🎯 Arjun’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
24. 24.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 33 right. How many percentage points more accurate is Model A?
25. 25.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
26. 26.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
27. 27.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
28. 28.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
29. 29.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
30. 30.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
31. 31.📦 Ishaan collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 42 right and Model B got 30 right. How many percentage points more accurate is Model A?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
34. 34.🎯 Meera’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
35. 35.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
36. 36.❌ Vihaan’s bird-song app was tested on 35 new bird songs and got 32 right. How many did it get wrong?
37. 37.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
38. 38.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
40. 40.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned

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