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 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 2.📋 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
- 3.🎯 Diya’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
- 4.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
- 5.📦 Nisha collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 6.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
- 7.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
- 8.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
- 9.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
- 11.📋 Planning an AI project: which comes first — improve data, retest or recheck every label? (a) improve data, retest (b) recheck every label
- 12.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 13.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
- 14.🎯 Nisha’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
- 15.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
- 16.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 17.📋 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
- 18.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 19.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 20.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 21.❌ Arjun’s handwriting reader was tested on 26 new handwritten letters and got 21 right. How many did it get wrong?
- 22.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
- 23.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
- 24.📦 Aarav collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 25.📦 Meera collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
- 27.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
- 28.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
- 29.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 30.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 34 right. What is its accuracy in percent?
- 31.🎯 Vihaan’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
- 32.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
- 33.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
- 34.🎯 Tara’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
- 35.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
- 36.🎯 Kabir’s spam spotter was tested on 25 new messages and got 20 right. What is its accuracy in percent?
- 37.📦 Aarav collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 38.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
- 39.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
- 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
- 136
- pick a question to solve
- 90
- choose what to sort
- 48
- test on new photos
- 68
- choose what to sort
- 14
- to see if it learned
- recheck every label
- correct ÷ total × 100
- paper and examples
- 60
- tag each photo by type
- try unseen examples
- pick a question to solve
- 40
- 8
- 8
- 5
- 80
- try unseen examples
- 88
- 96
- more labelled examples
- correct bad labels
- gather many examples
- 4
- 68
- 60
- pick a question to solve
- 100
- 100
- 85
- 80
- 40
- choose what to sort
- let it learn patterns
- try unseen examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students