Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 390 · 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 — train the model or improve data, retest? (a) train the model (b) improve data, retest
2. 2.🎯 Nisha’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
4. 4.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
5. 5.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 30 right and Model B got 28 right. How many percentage points more accurate is Model A?
6. 6.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
7. 7.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
8. 8.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
9. 9.🎯 Saanvi’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
10. 10.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
11. 11.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
12. 12.❌ Ishaan’s bird-song app was tested on 40 new bird songs and got 31 right. How many did it get wrong?
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
14. 14.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 34 right. What is its accuracy in percent?
15. 15.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
16. 16.📦 Kabir collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
17. 17.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
18. 18.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
19. 19.❌ Ishaan’s bird-song app was tested on 50 new bird songs and got 47 right. How many did it get wrong?
20. 20.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
21. 21.📦 Vihaan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
22. 22.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
23. 23.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
24. 24.❌ Ananya’s recycling sorter was tested on 36 new waste photos and got 32 right. How many did it get wrong?
25. 25.❌ Ananya’s spam spotter was tested on 20 new messages and got 12 right. How many did it get wrong?
26. 26.🎯 Vihaan’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
27. 27.📦 Diya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
28. 28.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
29. 29.❌ Rohan’s handwriting reader was tested on 35 new handwritten letters and got 34 right. How many did it get wrong?
30. 30.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 34 right. What is its accuracy in percent?
31. 31.📋 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
32. 32.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
33. 33.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
34. 34.📦 Arjun collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
35. 35.📦 Ishaan collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
36. 36.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
37. 37.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
38. 38.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
39. 39.📦 Ananya collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
40. 40.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test

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