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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
- 2.🎯 Nisha’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
- 3.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
- 4.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 30 right and Model B got 29 right. How many percentage points more accurate is Model A?
- 5.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
- 6.📦 Rohan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 7.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
- 8.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 28 right. How many percentage points more accurate is Model A?
- 9.📋 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
- 10.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
- 11.📦 Vihaan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 12.📦 Arjun collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 13.📋 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
- 14.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
- 15.❌ Kabir’s fruit sorter was tested on 26 new fruit photos and got 21 right. How many did it get wrong?
- 16.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 44 right and Model B got 25 right. How many percentage points more accurate is Model A?
- 17.📦 Kabir collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 18.🧪 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 make it bigger (d) to save paper
- 19.❌ Meera’s spam spotter was tested on 31 new messages and got 23 right. How many did it get wrong?
- 20.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
- 21.❌ Ananya’s fruit sorter was tested on 30 new fruit photos and got 26 right. How many did it get wrong?
- 22.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
- 23.❌ Tara’s bird-song app was tested on 47 new bird songs and got 41 right. How many did it get wrong?
- 24.🎯 Vihaan’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
- 25.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 26.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
- 27.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 28.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
- 29.📦 Ishaan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 30.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
- 31.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
- 32.📦 Diya collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 33.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
- 34.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
- 35.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
- 36.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
- 37.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
- 38.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
- 39.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
- 40.❌ Diya’s fruit sorter was tested on 21 new fruit photos and got 12 right. How many did it get wrong?
Answer key
- more labelled examples
- 60
- try unseen examples
- 2
- 54
- 112
- 8
- 44
- set aside test photos
- gather many examples
- 144
- 160
- pick a question to solve
- correct ÷ total × 100
- 5
- 38
- 136
- to see if it learned
- 8
- train the model
- 4
- recheck every label
- 6
- 50
- 20
- 32
- calculate percent right
- correct bad labels
- 128
- train the model
- split train and test
- 64
- paper and examples
- 20
- calculate percent right
- 90
- 95
- gather many examples
- 28
- 9
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students