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Nutrino.-.Hackoders.mp4

Nutrino: Your Own Food Assistant

Welcome to Nutrino, your go-to platform for managing allergies and dietary restrictions with ease! Nutrino leverages machine learning to empower users with features like ingredient detection in images, scanning packaged products, sharing allergen-free recipes, and detailed recipe analysis.

Table of Contents

• Introduction
• Features
• Getting Started
• Usage
• Contributors
• License

Introduction

Nutrino is a web application designed to help individuals with allergies and dietary restrictions navigate the world of food effortlessly. By utilizing advanced machine learning models, Nutrino provides users with powerful tools to detect ingredients, suggest alternatives, and offer a delightful cooking experience.

Features

1. Image Ingredient Detection

Take a picture of your fridge or the supermarket area, and Nutrino's machine learning models will identify all food ingredients present. The platform then replaces allergens or restricted items with suitable alternatives.

2. Package Scanner

Scan the back side of any packaged product, and Nutrino will inform you if it contains any allergic ingredients. Make informed choices while shopping for groceries.

3. Recipe Sharing

Share your own allergen-free recipes with the Nutrino community. Connect with users who have similar allergies or dietary restrictions, and foster a supportive environment for exchanging culinary ideas.

4. Detailed Recipe Analysis

Every recipe on Nutrino undergoes a detailed analysis, presented to users in the form of informative graphs. Understand the nutritional content and make well-informed decisions based on your dietary needs.

5. Retro-Styled UI

Nutrino features a engaging retro-themed user interface, providing a visually appealing and nostalgic experience for modern users.

Getting Started

To get started with Nutrino, follow these steps:

1. Clone the repository:

   git clone https://github.com/vaxad/Nutrino.git
   cd Nutrino

2. Install dependencies:

   cd frontend
   npm install
   cd ../backend
   npm install
   cd ../flask
   pip install -r requirements.txt

3. Set up your environment variables.

4. Run the application:

   cd backend
   npm run dev
   cd ../flask
   python app.py
   cd frontend
   npm run dev

   Visit http://localhost:3000 in your browser.

Usage

Explore the Nutrino platform and take advantage of its powerful features:

• Upload images for ingredient detection.
• Scan packaged products using the built-in barcode scanner.
• Share your allergen-free recipes and engage with the community.
• Dive into detailed recipe analysis to make informed dietary decisions.

Contributors

• Mihir Panchal
• Arnav Deo
• Prinkal Doshi
• Varad Prabhu

License

Nutrino is licensed under the MIT License. Feel free to use, modify, and distribute the code as per the terms of the license.

Happy cooking with Nutrino! 🍲🌿