| name | nutrition-analyzer |
| description | Analyze food photos or descriptions to estimate nutritional content (calories, protein, carbs, fat). Provide dietary advice and meal tracking. |
| metadata | {"xiaodazi":{"dependency_level":"builtin","os":["common"],"backend_type":"local","user_facing":true}} |
้ฃ็ฉ่ฅๅ
ปๅๆ
ๅๆ้ฃ็ฉๆ่ฟฐๆ็
ง็๏ผไผฐ็ฎ่ฅๅ
ปๆๅ๏ผๆไพ้ฅฎ้ฃๅปบ่ฎฎใ
ไฝฟ็จๅบๆฏ
- ็จๆท่ฏดใ่ฟ้กฟ้ฅญๅคงๆฆๅคๅฐๅก่ทฏ้ใใๅธฎๆๅๆไปๅคฉๅ็ไธ่ฅฟใ
- ็จๆทๆไบ้ฃ็ฉ็
ง็ๆณไบ่งฃ่ฅๅ
ป
- ็จๆทๅจๅ้ฅฎ้ฃ่ฎกๅๆๅ่/ๅข่็ฎก็
ๅๆๆนๅผ
ๆๅญๆ่ฟฐๅๆ
็จๆทๆ่ฟฐ้ฃ็ฉ๏ผLLM ๅบไบ่ฅๅ
ป็ฅ่ฏไผฐ็ฎ๏ผ
่พๅ
ฅ: "ไธ็ข็ฝ็ฑณ้ฅญ + ็บข็งๆ้ชจไธๅ + ็้่ไธ็"
่พๅบ:
โโโโโโโโโโโโฌโโโโโโโโฌโโโโโโโโโฌโโโโโโโโโฌโโโโโโโโโ
โ ้ฃ็ฉ โ ็ญ้ โ ่็ฝ่ดจ โ ็ขณๆฐด โ ่่ช โ
โโโโโโโโโโโโผโโโโโโโโผโโโโโโโโโผโโโโโโโโโผโโโโโโโโโค
โ ็ฝ็ฑณ้ฅญ โ 230ๅก โ 4g โ 50g โ 0.5g โ
โ ็บข็งๆ้ชจ โ 350ๅก โ 25g โ 8g โ 24g โ
โ ็้่ โ 80ๅก โ 3g โ 5g โ 5g โ
โโโโโโโโโโโโผโโโโโโโโผโโโโโโโโโผโโโโโโโโโผโโโโโโโโโค
โ ๅ่ฎก โ 660ๅก โ 32g โ 63g โ 29.5g โ
โโโโโโโโโโโโดโโโโโโโโดโโโโโโโโโดโโโโโโโโโดโโโโโโโโโ
่ฏไปท๏ผ็ญ้้ไธญ๏ผ่็ฝ่ดจ่พพๆ ๏ผ็ขณๆฐดๅ้ซใ
ๅปบ่ฎฎ๏ผๆญ้
ๆดๅค่ฌ่๏ผๅๅฐ็ฑณ้ฅญ้่ณๅ็ขใ
ๅพ็ๅๆ๏ผ้ๅคๆจกๆๆจกๅๆฏๆ๏ผ
ๅฆๆ LLM ๆฏๆ่ง่ง่พๅ
ฅ๏ผๅฆ Claude vision / GPT-4V๏ผ๏ผๅฏ็ดๆฅๅๆ้ฃ็ฉ็
ง็ใ
ๆฏๆฅ้ฅฎ้ฃ่ฟฝ่ธช
mkdir -p ~/.xiaodazi/nutrition
cat >> ~/.xiaodazi/nutrition/$(date +%Y-%m-%d).json << 'EOF'
{"meal": "ๅ้ค", "time": "12:30", "foods": [...], "total_calories": 660}
EOF
cat ~/.xiaodazi/nutrition/$(date +%Y-%m-%d).json
่ฅๅ
ปๆฐๆฎๅบ API๏ผๅฏ้๏ผ
curl -s "https://api.nal.usda.gov/fdc/v1/foods/search?query=chicken+breast&api_key=DEMO_KEY&pageSize=3" | python3 -c "
import json, sys
data = json.load(sys.stdin)
for food in data.get('foods', [])[:3]:
name = food.get('description', '')
nutrients = {n['nutrientName']: n['value'] for n in food.get('foodNutrients', [])[:10]}
print(f'{name}:')
for k, v in list(nutrients.items())[:5]:
print(f' {k}: {v}')
"
่พๅบ่ง่
- ่ฅๅ
ป่กจๆ ผ็จ Markdown ่กจๆ ผๅฑ็คบ
- ๆฐๅผไธบ่ฟไผผๅผ๏ผๆณจๆใไป
ไพๅ่๏ผ้ๅปๅญฆๅปบ่ฎฎใ
- ็ปๅบ็ฎ็ญ็้ฅฎ้ฃๅปบ่ฎฎ๏ผ1-2 ๅฅ๏ผ
- ๆฏๆไธญ่ฑๆ้ฃ็ฉๅ
