calorie-detective-v2-0-0

Calorie Detective is a specialized AI agent skill designed for health-conscious individuals, fitness enthusiasts, and those managing dietary intake. By leveraging Kimi's advanced vision recognition capabilities (specifically the moonshot-v1-8k-vision-preview model), the skill can accurately identify food items from uploaded photographs and perform instant nutritional analysis. This eliminates the tedious process of manual data entry, providing an efficient way to track calories, protein, carbohydrates, and fats throughout the day.

• Precise food recognition powered by AI visual processing models.

• Automated calculation of total calories and macronutrient breakdown (protein, carbs, fats).

• Comprehensive built-in nutrition database containing 100+ common food items with standardized nutritional data per 100 grams.

• Personalized health and dietary improvement suggestions based on the identified meal content.

• Supports various food categories including staples, proteins, fruits, vegetables, and fast food items.

• Extensible architecture allowing developers to easily update the local nutrition knowledge base via simple Python dictionary configurations.

• The skill functions best when provided with clear, well-lit photographs of single or multiple food items.

• Expected output includes a structured nutritional report detailing the estimated caloric and macronutrient values.

• Users should note that this tool provides informational estimates; it is not a medical device and should not replace professional guidance from nutritionists or medical doctors.

• Variations in cooking methods, ingredients, and portion sizes may affect the accuracy of the caloric estimation.

• The codebase is licensed under MIT, encouraging community contributions and further optimizations for specific culinary regions.