Nutrition Assistant Web Application

Project Overview

The Nutrition Assistant Application is an innovative web app that automatically estimates food attributes such as ingredients and nutritional value by classifying input images of food. This project aims to make nutritional information easily accessible and promote healthier eating habits.

Key Features:

Image-based food recognition
Automatic ingredient identification
Nutritional value estimation
User-friendly interface
Comprehensive food database

Technical Details

This project leverages cutting-edge technologies in image processing and machine learning:

Frontend: React.js for a responsive and interactive user interface
Edaman API - 9000+ food Collection Database

Image Recognition Technology

Our Nutrition Assistant utilizes state-of-the-art image recognition technology to accurately identify food items from user-uploaded images. This forms the foundation of our nutritional analysis system.

Deep learning models for image classification
High accuracy in diverse food recognition
Continuous model improvement through user feedback

Nutritional Analysis System

Once a food item is identified, our sophisticated nutritional analysis system provides comprehensive information about its nutritional content, helping users make informed dietary choices.

Detailed breakdown of macronutrients and micronutrients
Calorie estimation based on portion size
Allergen and dietary restriction alerts

User Experience and Interface

Our Nutrition Assistant Application features an intuitive and user-friendly interface, making it easy for users to upload food images and receive instant nutritional information.

Clean and responsive design
Simple image upload process
Clear presentation of nutritional data