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 — train the model or fix it and test again? (a) train the model (b) fix it and test again
- 2.❌ Vihaan’s fruit sorter was tested on 47 new fruit photos and got 43 right. How many did it get wrong?
- 3.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 4.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
- 5.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
- 6.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
- 7.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
- 8.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
- 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
- 10.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
- 11.❌ Kabir’s leaf identifier was tested on 48 new leaf photos and got 42 right. How many did it get wrong?
- 12.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
- 13.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
- 14.❌ Arjun’s spam spotter was tested on 30 new messages and got 23 right. How many did it get wrong?
- 15.📦 Nisha collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 16.🎯 Nisha’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
- 17.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
- 18.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 19.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
- 20.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
- 21.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
- 22.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
- 23.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
- 24.📦 Aarav collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 25.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
- 27.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
- 28.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 29.❌ Tara’s bird-song app was tested on 35 new bird songs and got 31 right. How many did it get wrong?
- 30.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 31.❌ Meera’s leaf identifier was tested on 21 new leaf photos and got 15 right. How many did it get wrong?
- 32.📦 Ishaan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 33.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
- 34.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 35.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
- 36.❌ Arjun’s fruit sorter was tested on 26 new fruit photos and got 24 right. How many did it get wrong?
- 37.❌ Tara’s bird-song app was tested on 24 new bird songs and got 18 right. How many did it get wrong?
- 38.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 39.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
- 40.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
Answer key
- train the model
- 4
- 16
- collect fruit photos
- correct ÷ total × 100
- split train and test
- paper and examples
- recheck every label
- to see if it learned
- pick a question to solve
- 6
- 8
- work out the accuracy
- 7
- 144
- 16
- test on new photos
- 152
- correct bad labels
- correct bad labels
- 80
- label each example
- 36
- 128
- 10
- more labelled examples
- choose what to sort
- 20
- 4
- 5
- 6
- 104
- pick a question to solve
- 5
- 36
- 2
- 6
- 8
- train the model
- set aside test photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students