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.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 38 right. What is its accuracy in percent?
- 2.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
- 3.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
- 4.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
- 5.❌ Vihaan’s handwriting reader was tested on 45 new handwritten letters and got 44 right. How many did it get wrong?
- 6.⚖️ 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?
- 7.📦 Saanvi collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 8.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
- 9.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
- 10.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
- 11.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
- 12.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
- 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
- 14.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
- 15.🎯 Arjun’s recycling sorter was tested on 50 new waste photos and got 49 right. What is its accuracy in percent?
- 16.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
- 17.🎯 Nisha’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
- 18.📦 Rohan collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
- 19.📦 Arjun collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 20.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
- 21.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
- 22.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
- 23.📦 Ishaan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 24.🎯 Arjun’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
- 25.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
- 26.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
- 27.📦 Saanvi collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 28.📦 Ananya collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
- 29.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 40 new messages, how many should it get right?
- 30.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 18 right. What is its accuracy in percent?
- 31.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
- 32.📋 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
- 33.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
- 34.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
- 35.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 36.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
- 37.📋 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
- 38.📦 Nisha collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 39.❌ Vihaan’s recycling sorter was tested on 28 new waste photos and got 27 right. How many did it get wrong?
- 40.📦 Diya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
Answer key
- 76
- test on new photos
- let it learn patterns
- 20
- 1
- 4
- 152
- test on new photos
- 81
- correct ÷ total × 100
- 84
- 12
- more labelled examples
- 50
- 98
- collect fruit photos
- 72
- 112
- 40
- 2
- try unseen examples
- pick a question to solve
- 48
- 70
- collect fruit photos
- calculate percent right
- 40
- 136
- 24
- 90
- 54
- set aside test photos
- collect fruit photos
- 15
- work out the accuracy
- paper and examples
- pick a question to solve
- 48
- 1
- 144
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students