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 — gather many examples or label each example? (a) gather many examples (b) label each example
- 2.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 3.📦 Nisha collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
- 5.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
- 6.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 7.❌ Saanvi’s spam spotter was tested on 33 new messages and got 31 right. How many did it get wrong?
- 8.📦 Vihaan collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 9.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 40 right. What is its accuracy in percent?
- 10.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 44 right. How many percentage points more accurate is Model A?
- 11.🧪 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 save paper (d) to make it bigger
- 12.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 13.📦 Meera collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 14.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 15.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
- 16.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
- 17.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 18.❌ Ishaan’s spam spotter was tested on 49 new messages and got 43 right. How many did it get wrong?
- 19.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
- 20.📋 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
- 21.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
- 22.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
- 23.❌ Kabir’s fruit sorter was tested on 29 new fruit photos and got 25 right. How many did it get wrong?
- 24.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
- 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
- 26.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 30 right. What is its accuracy in percent?
- 27.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
- 28.📦 Meera collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 29.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
- 30.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 31.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
- 32.❌ Tara’s leaf identifier was tested on 35 new leaf photos and got 34 right. How many did it get wrong?
- 33.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 34.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
- 35.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 36.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
- 37.📦 Ananya collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 38.📦 Ananya collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 39.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 100 new messages, how many should it get right?
- 40.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
Answer key
- gather many examples
- 10
- 80
- paper and examples
- pick a question to solve
- 40
- 2
- 128
- 80
- 6
- to see if it learned
- calculate percent right
- 80
- 27
- pick a question to solve
- gather many examples
- 4
- 6
- tag each photo by type
- pick a question to solve
- 50
- 50
- 4
- label each example
- more labelled examples
- 60
- recheck every label
- 120
- 64
- try unseen examples
- label each example
- 1
- 16
- 16
- try unseen examples
- label each example
- 104
- 32
- 60
- pick a question to solve
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students