🧠 nutrition-ai (Rust)

Analyze food images using Google Gemini AI with full nutritional breakdown – written in pure Rust.

🔄 Node.js developer? Use the official nutrition-ai npm package.

🍽️ Overview

This crate replicates the functionality of nutrition-ai in Rust.

📸 Upload food images as base64 (image/png or image/jpeg)
🤖 Google Gemini AI generates:
- Calorie + macro breakdown per food item
- Total calorie estimation
- Nutritional balance and dietary tips
🛡️ Input validation and error handling
🔁 Auto-retries on 503 model overloads

🚀 Quick Example

use base64::engine::general_purpose::STANDARD;
use base64::Engine;
use nutrition_ai::{GeminiRequest, MimeType, generate_answer};

#[tokio::main]
async fn main() -> anyhow::Result<()> {
    let image_bytes = std::fs::read("img.png")?;
    let file_base64 = STANDARD.encode(&image_bytes);

    let req = GeminiRequest {
        file_base64,
        file_mime_type: MimeType::ImagePng,
        google_key: "<YOUR_GOOGLE_KEY>".to_string(),
        model: Some("Gemini2_0Flash".to_string()),
    };

    let result = generate_answer(req).await?;
    println!("{}", result);
    Ok(())
}

📥 API Parameters

Field	Type	Description
`file_base64`	`String`	Base64-encoded food image
`file_mime_type`	`MimeType` enum	`MimeType::ImagePng` or `MimeType::ImageJpeg`
`google_key`	`String`	Your Google Gemini API key (get it from makersuite)
`model`	`Option<String>`	Optional Gemini model (e.g. `"Gemini2_0Flash"`)

🛠️ Supported Models

Gemini1_0Pro
Gemini1_5Pro
Gemini1_5Flash (default)
Gemini1_5Flash8B
Gemini2_0Flash

Default fallback model if none is provided: Gemini1_5Flash

🧪 Error Handling

❌ Empty or invalid base64 input
❌ Unsupported MIME type
❌ Missing Google API key
🔁 Retries up to 3 times on Gemini API 503 (model overload)
❌ Missing or empty Gemini response content

🧑‍💻 Author

@virugamacoder

nutrition-ai 0.1.1