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.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 16 right. What is its accuracy in percent?
- 2.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
- 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
- 4.📦 Kabir collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 5.📦 Tara collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 6.🧪 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
- 7.📦 Vihaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 8.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
- 9.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
- 10.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 80 new waste photos, how many should it get right?
- 11.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
- 12.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
- 13.🎯 Nisha’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 14.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 15.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 16.❌ Diya’s spam spotter was tested on 43 new messages and got 34 right. How many did it get wrong?
- 17.🎯 Nisha’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
- 18.🎯 Diya’s fruit sorter was tested on 25 new fruit photos and got 13 right. What is its accuracy in percent?
- 19.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
- 20.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
- 21.🎯 Saanvi’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
- 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
- 23.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
- 24.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
- 25.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
- 26.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
- 27.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 28.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 29.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
- 30.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
- 31.📦 Vihaan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 32.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
- 33.📦 Ananya collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 34.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
- 35.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
- 36.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
- 37.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
- 38.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 46 right and Model B got 44 right. How many percentage points more accurate is Model A?
- 39.❌ Tara’s bird-song app was tested on 33 new bird songs and got 32 right. How many did it get wrong?
- 40.📦 Meera collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
Answer key
- 64
- recheck every label
- paper and examples
- 56
- 128
- to see if it learned
- 120
- train the model
- recheck every label
- 56
- try unseen examples
- 5
- 18
- 14
- 40
- 9
- 72
- 52
- 49
- pick a question to solve
- 96
- more labelled examples
- choose what to sort
- calculate percent right
- tag each photo by type
- correct bad labels
- 20
- 20
- choose what to sort
- let it learn patterns
- 56
- label each example
- 48
- collect fruit photos
- let it learn patterns
- gather many examples
- pick a question to solve
- 4
- 1
- 64
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students