Build Your Own AI Project Worksheet
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.
NameDateTime takenScore ___ / 40
- 1.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
- 3.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
- 4.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
- 5.❌ Diya’s bird-song app was tested on 37 new bird songs and got 28 right. How many did it get wrong?
- 6.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
- 7.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
- 8.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
- 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
- 10.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 11.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
- 12.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
- 13.🎯 Vihaan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
- 14.❌ Meera’s bird-song app was tested on 29 new bird songs and got 20 right. How many did it get wrong?
- 15.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
- 16.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
- 17.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
- 18.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
- 19.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
- 20.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 21.🎯 Diya’s handwriting reader was tested on 25 new handwritten letters and got 19 right. What is its accuracy in percent?
- 22.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
- 23.📦 Rohan collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 24.❌ Saanvi’s leaf identifier was tested on 18 new leaf photos and got 14 right. How many did it get wrong?
- 25.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
- 26.🎯 Tara’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
- 27.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 28.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
- 29.📦 Vihaan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 30.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 31.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 50 right. What is its accuracy in percent?
- 32.📦 Aarav collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 33.❌ Saanvi’s bird-song app was tested on 26 new bird songs and got 18 right. How many did it get wrong?
- 34.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 35.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
- 36.📦 Vihaan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 37.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
- 38.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
- 39.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 40.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
Answer key
- try unseen examples
- more labelled examples
- choose what to sort
- 25
- 9
- correct bad labels
- 60
- 60
- to see if it learned
- 20
- 100
- 8
- 80
- 9
- paper and examples
- collect fruit photos
- split train and test
- 35
- 60
- 5
- 76
- recheck every label
- 72
- 4
- let it learn patterns
- 8
- try unseen examples
- 35
- 56
- correct ÷ total × 100
- 100
- 56
- 8
- 10
- gather many examples
- 144
- set aside test photos
- collect fruit photos
- 10
- try unseen examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students