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 leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
- 2.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
- 3.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
- 4.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
- 5.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
- 6.📋 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
- 7.📦 Kabir collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 8.📦 Arjun collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 9.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
- 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
- 11.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
- 12.❌ Ananya’s fruit sorter was tested on 44 new fruit photos and got 38 right. How many did it get wrong?
- 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
- 14.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
- 15.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
- 16.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 17.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 18.❌ Vihaan’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?
- 19.❌ Diya’s leaf identifier was tested on 15 new leaf photos and got 12 right. How many did it get wrong?
- 20.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 21.📋 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
- 22.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 23.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
- 24.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
- 25.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
- 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 27.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
- 28.📦 Meera collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 29.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
- 30.📦 Aarav collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 31.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
- 32.📦 Vihaan collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 33.❌ Vihaan’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
- 34.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 35.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 39 right. What is its accuracy in percent?
- 36.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 37.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 38.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
- 39.📦 Ishaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 40.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
Answer key
- 64
- split train and test
- tag each photo by type
- correct ÷ total × 100
- 30
- pick a question to solve
- 72
- 136
- set aside test photos
- paper and examples
- 6
- 6
- more labelled examples
- 25
- to see if it learned
- 60
- 12
- 1
- 3
- 42
- train the model
- 10
- collect fruit photos
- 100
- pick a question to solve
- 20
- tag each photo by type
- 144
- label each example
- 104
- recheck every label
- 112
- 5
- 4
- 78
- 9
- try unseen examples
- 21
- 120
- let it learn patterns
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students