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.📦 Ishaan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 2.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
- 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
- 4.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 5.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
- 6.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 7.📦 Kabir collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 8.🎯 Tara’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
- 9.❌ Nisha’s handwriting reader was tested on 42 new handwritten letters and got 41 right. How many did it get wrong?
- 10.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 10 right. How many percentage points more accurate is Model A?
- 11.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
- 12.❌ Saanvi’s recycling sorter was tested on 44 new waste photos and got 40 right. How many did it get wrong?
- 13.🎯 Meera’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
- 14.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 39 right and Model B got 31 right. How many percentage points more accurate is Model A?
- 15.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
- 16.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
- 17.❌ Ishaan’s fruit sorter was tested on 34 new fruit photos and got 25 right. How many did it get wrong?
- 18.❌ Arjun’s spam spotter was tested on 20 new messages and got 13 right. How many did it get wrong?
- 19.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 13 right. What is its accuracy in percent?
- 20.📦 Meera collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 21.❌ Saanvi’s fruit sorter was tested on 26 new fruit photos and got 18 right. How many did it get wrong?
- 22.📦 Saanvi collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 23.🎯 Meera’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
- 24.📦 Aarav collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 25.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
- 26.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
- 27.❌ Ananya’s spam spotter was tested on 17 new messages and got 16 right. How many did it get wrong?
- 28.❌ Tara’s bird-song app was tested on 20 new bird songs and got 19 right. How many did it get wrong?
- 29.📦 Rohan collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 30.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
- 31.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
- 32.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
- 33.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
- 34.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
- 35.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
- 36.❌ Arjun’s spam spotter was tested on 15 new messages and got 13 right. How many did it get wrong?
- 37.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
- 38.📦 Aarav collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 39.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
- 40.🎯 Vihaan’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?
Answer key
- 56
- correct bad labels
- to see if it learned
- try unseen examples
- choose what to sort
- correct ÷ total × 100
- 32
- 50
- 1
- 50
- train the model
- 4
- 84
- 16
- more labelled examples
- train the model
- 9
- 7
- 52
- 112
- 8
- 56
- 100
- 120
- 58
- pick a question to solve
- 1
- 1
- 160
- paper and examples
- correct bad labels
- pick a question to solve
- work out the accuracy
- calculate percent right
- tag each photo by type
- 2
- tag each photo by type
- 120
- recheck every label
- 6
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students