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 — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
- 2.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
- 3.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
- 4.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
- 5.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
- 6.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 35 right and Model B got 28 right. How many percentage points more accurate is Model A?
- 7.📦 Saanvi collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 8.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
- 9.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
- 10.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
- 11.❌ Ishaan’s spam spotter was tested on 38 new messages and got 36 right. How many did it get wrong?
- 12.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
- 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.🎯 Vihaan’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
- 15.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
- 16.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
- 17.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
- 18.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
- 19.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
- 20.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
- 21.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
- 22.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
- 23.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
- 24.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
- 25.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
- 26.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
- 27.🎯 Meera’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
- 28.📦 Nisha collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 29.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 24 right. What is its accuracy in percent?
- 30.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 31.🎯 Nisha’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 32.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
- 33.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 40 right and Model B got 37 right. How many percentage points more accurate is Model A?
- 34.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
- 35.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
- 36.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
- 37.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
- 38.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
- 39.📦 Tara collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 40.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
Answer key
- choose what to sort
- correct ÷ total × 100
- 100
- label each example
- 48
- 14
- 120
- to see if it learned
- choose what to sort
- 5
- 2
- set aside test photos
- work out the accuracy
- 7
- correct bad labels
- 36
- label each example
- 30
- 10
- choose what to sort
- collect fruit photos
- pick a question to solve
- paper and examples
- tag each photo by type
- test on new photos
- 90
- 70
- 48
- 96
- 40
- 60
- pick a question to solve
- 6
- try unseen examples
- correct bad labels
- label each example
- 15
- 10
- 104
- recheck every label
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students