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.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
- 2.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 3.❌ Saanvi’s recycling sorter was tested on 21 new waste photos and got 16 right. How many did it get wrong?
- 4.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
- 5.📦 Tara collected 120 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 — work out the accuracy or tag each photo by type? (a) work out the accuracy (b) tag each photo by type
- 7.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
- 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
- 9.🎯 Diya’s spam spotter is 50% accurate. If it is tested on 90 new messages, 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 see if it learned (c) to make it bigger (d) to save paper
- 11.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
- 12.🎯 Nisha’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
- 13.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
- 14.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
- 15.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
- 16.📦 Rohan collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 17.📦 Tara collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 18.❌ Ishaan’s fruit sorter was tested on 34 new fruit photos and got 30 right. How many did it get wrong?
- 19.❌ Kabir’s leaf identifier was tested on 28 new leaf photos and got 21 right. How many did it get wrong?
- 20.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
- 21.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
- 22.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
- 23.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
- 24.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 25.📦 Kabir collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 26.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 27.🎯 Diya’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
- 28.❌ Kabir’s leaf identifier was tested on 43 new leaf photos and got 38 right. How many did it get wrong?
- 29.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 30.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 43 right and Model B got 40 right. How many percentage points more accurate is Model A?
- 31.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
- 32.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
- 33.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
- 34.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
- 35.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
- 36.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
- 37.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
- 38.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
- 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.📦 Tara collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
Answer key
- recheck every label
- 56
- 5
- let it learn patterns
- 96
- tag each photo by type
- gather many examples
- more labelled examples
- 45
- to see if it learned
- train the model
- 40
- collect fruit photos
- correct ÷ total × 100
- 72
- 128
- 64
- 4
- 7
- pick a question to solve
- paper and examples
- split train and test
- train the model
- 15
- 56
- calculate percent right
- 49
- 5
- try unseen examples
- 6
- choose what to sort
- 20
- 12
- let it learn patterns
- 20
- split train and test
- 30
- set aside test photos
- let it learn patterns
- 40
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students