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.📦 Arjun collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 2.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 34 right. How many percentage points more accurate is Model A?
- 3.📦 Tara collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 4.🧪 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 save paper (d) to make it bigger
- 5.📦 Ananya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 6.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
- 7.📦 Diya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 8.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
- 9.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
- 10.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 11.🎯 Tara’s handwriting reader is 60% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
- 12.📦 Nisha collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 13.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
- 14.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
- 15.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
- 16.📋 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
- 17.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
- 18.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 60 new messages, how many should it get right?
- 19.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
- 20.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 21.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
- 22.📦 Vihaan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 23.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
- 24.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
- 25.❌ Aarav’s leaf identifier was tested on 39 new leaf photos and got 32 right. How many did it get wrong?
- 26.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 27.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
- 28.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
- 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
- 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.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
- 32.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
- 33.❌ Meera’s spam spotter was tested on 22 new messages and got 20 right. How many did it get wrong?
- 34.❌ Vihaan’s fruit sorter was tested on 21 new fruit photos and got 12 right. How many did it get wrong?
- 35.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
- 36.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
- 37.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 38.🎯 Arjun’s leaf identifier was tested on 50 new leaf photos and got 49 right. What is its accuracy in percent?
- 39.📦 Ishaan collected 130 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 — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
Answer key
- 120
- 22
- 40
- to see if it learned
- 32
- pick a question to solve
- 88
- correct bad labels
- test on new photos
- work out the accuracy
- 42
- 40
- 12
- gather many examples
- set aside test photos
- pick a question to solve
- 63
- 48
- recheck every label
- 12
- correct bad labels
- 56
- 16
- set aside test photos
- 7
- test on new photos
- 64
- 9
- 4
- paper and examples
- 100
- label each example
- 2
- 9
- pick a question to solve
- 4
- 30
- 98
- 104
- collect fruit photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students