Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 226 · 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.🧪 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
2. 2.📦 Arjun collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
4. 4.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
6. 6.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
7. 7.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
8. 8.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
9. 9.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
10. 10.❌ Tara’s fruit sorter was tested on 46 new fruit photos and got 43 right. How many did it get wrong?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
12. 12.🎯 Nisha’s bird-song app was tested on 25 new bird songs and got 21 right. What is its accuracy in percent?
13. 13.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
14. 14.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
15. 15.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
16. 16.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
17. 17.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
19. 19.📦 Diya collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
22. 22.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
23. 23.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
24. 24.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
25. 25.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
26. 26.📦 Diya collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
28. 28.❌ Aarav’s recycling sorter was tested on 36 new waste photos and got 34 right. How many did it get wrong?
29. 29.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
30. 30.📋 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
31. 31.📦 Aarav collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📦 Arjun collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
34. 34.🎯 Nisha’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
35. 35.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
36. 36.🎯 Saanvi’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
37. 37.📦 Diya collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
39. 39.🎯 Arjun’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
40. 40.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos

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