nutrition-ai serves as a wrapper for a google gemini pro vision model designed to analyze food-related images. This package provides detailed nutritional information about the presented food items, including caloric content, nutritional value, and personalized dietary recommendations.

Installation

Install with npm

  npm i nutrition-ai

Usage

import { generateAnswer } from "nutrition-ai";

const answer = await generateAnswer({ fileBase64, fileMimeType, googleKey });

Features

• Food Item Analysis: Obtain detailed information about each identified food item, including caloric content and health benefits.
• Total Calories Calculation: Evaluate the sum of calories for all identified items to provide a comprehensive view of the meal's energy content.
• Overall Nutritional Value Assessment: Analyze the meal's nutritional balance and healthfulness, offering personalized dietary advice.
• Nutritional Composition Breakdown: Break down the nutritional composition, emphasizing the percentages for macronutrients.
• Dietary Recommendations: Provide actionable advice for enjoying the meal in a healthy manner, including portion sizes and alternative ingredients.

API Reference

• generateAnswer():
  • Parameters:
    • fileBase64 (string) : file content as base64.
    • fileMimeType (string): image/jpeg / image/png
    • googleKey (string) : google AI key (grab it from https://makersuite.google.com)
    • model (string) : model is optional. By default, it will use gemini-pro-vision model.
  • Returns:
    • text: The text contains generated answer from model.

Authors

• @dhavalcode