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.🧪 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
- 2.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
- 4.🎯 Nisha’s handwriting reader was tested on 25 new handwritten letters and got 21 right. What is its accuracy in percent?
- 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
- 6.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
- 7.🎯 Vihaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
- 8.📋 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
- 9.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 10.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 34 right. How many percentage points more accurate is Model A?
- 11.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
- 12.❌ Ishaan’s recycling sorter was tested on 46 new waste photos and got 44 right. How many did it get wrong?
- 13.📋 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
- 14.🎯 Diya’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
- 15.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 16.📦 Ishaan collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 17.🎯 Kabir’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
- 18.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
- 19.🎯 Rohan’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
- 20.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 21.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
- 22.❌ Ananya’s leaf identifier was tested on 43 new leaf photos and got 39 right. How many did it get wrong?
- 23.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
- 24.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
- 25.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
- 26.📋 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
- 27.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
- 28.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
- 29.📦 Aarav collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 30.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
- 31.❌ Saanvi’s handwriting reader was tested on 33 new handwritten letters and got 25 right. How many did it get wrong?
- 32.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
- 33.🎯 Vihaan’s recycling sorter was tested on 25 new waste photos and got 20 right. What is its accuracy in percent?
- 34.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
- 35.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
- 36.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 38 right and Model B got 34 right. How many percentage points more accurate is Model A?
- 37.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 21 right and Model B got 18 right. How many percentage points more accurate is Model A?
- 38.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 17 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 40.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
Answer key
- paper and examples
- calculate percent right
- more labelled examples
- 84
- to see if it learned
- 50
- 75
- pick a question to solve
- 40
- 32
- let it learn patterns
- 2
- let it learn patterns
- 20
- 12
- 80
- 90
- collect fruit photos
- 64
- 60
- pick a question to solve
- 4
- 100
- correct ÷ total × 100
- 8
- work out the accuracy
- tag each photo by type
- gather many examples
- 160
- set aside test photos
- 8
- train the model
- 80
- let it learn patterns
- set aside test photos
- 8
- 12
- 56
- 30
- set aside test photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students