[go: nahoru, domu]

Skip to content
@Ingridentify

Ingridentify

logo-no-background

Ingridentify

Ingridentify is a project aimed at addressing prevalent challenges in modern meal planning, unhealthy eating habits, and food wastage. Our solution utilizes computer vision and AI to create a user-friendly application that recognizes various fruits and vegetables through image scanning.

Problem Statement

In the fast-paced lifestyle, individuals often face limited time to make nutritious meal choices and lack familiarity with diverse ingredients. This leads to repetitive, uninspiring menus, and discarded, unused produce. The overconsumption of processed foods and the underutilization of fresh, plant-based ingredients further compound these issues.

Solution

Our application leverages artificial intelligence and computer vision to recognize different fruits and vegetables. It provides users with personalized menu suggestions based on their pantry items and offers step-by-step cooking recipes. By doing so, we aim to alleviate the struggles of meal planning, promote healthier eating habits, and reduce food waste.

Features

  • Ingredient Recognition: Utilizes computer vision to identify various fruits and vegetables through image scanning.
  • Personalized Menu Suggestions: Offers users personalized menu suggestions based on their pantry items.
  • Detailed Cooking Recipes: Provides step-by-step cooking recipes for a diverse culinary experience.

Goals

Our primary goal is to create an intuitive plant/fruit scanning application that promotes healthier eating habits and reduces food waste. We aim to empower individuals to make informed food choices, diversify their menus, and contribute to a more sustainable lifestyle.

Team

Name Student ID Path
Ryan Reynickha Fatullah M296BSY1298 Machine Learning
Syifa Nur'Afni Hidayat M494BSX0800 Machine Learning
Adinda Putri Budi Saraswati C296BSX3753 Cloud Computing
Zandy Qois C296BSY4285 Cloud Computing
Tri Putra Fauzan H. Radji A494BSY2646 Mobile Development
M. Hanif Fajar Anggara A548BKY4469 Mobile Development

Our team is passionate about promoting healthier eating habits and reducing food waste, recognizing the significant environmental and health implications. We believe that Ingridentify has the potential to enhance the quality of life for users and contribute to a more sustainable future.

Feel free to contribute to our project and join us on this journey towards healthier and more sustainable living!

Popular repositories Loading

  1. Ingridentify Ingridentify Public

    Ingridentify is a project aimed at addressing prevalent challenges in modern meal planning, unhealthy eating habits, and food wastage.

    Kotlin 3 1

  2. backend backend Public

    JavaScript 1

  3. dummy-backend dummy-backend Public

    This is a dummy backend for Ingridentify android app

    JavaScript 1

  4. Machine-Learning Machine-Learning Public

    Python 1

  5. .github .github Public

    Ingridentify is a project aimed at addressing prevalent challenges in modern meal planning, unhealthy eating habits, and food wastage.

Repositories

Showing 5 of 5 repositories
  • Ingridentify/Machine-Learning’s past year of commit activity
    Python 1 0 0 0 Updated Dec 22, 2023
  • Ingridentify Public

    Ingridentify is a project aimed at addressing prevalent challenges in modern meal planning, unhealthy eating habits, and food wastage.

    Ingridentify/Ingridentify’s past year of commit activity
    Kotlin 3 1 0 0 Updated Dec 22, 2023
  • backend Public
    Ingridentify/backend’s past year of commit activity
    JavaScript 1 0 0 0 Updated Dec 22, 2023
  • .github Public

    Ingridentify is a project aimed at addressing prevalent challenges in modern meal planning, unhealthy eating habits, and food wastage.

    Ingridentify/.github’s past year of commit activity
    0 0 0 0 Updated Dec 21, 2023
  • dummy-backend Public

    This is a dummy backend for Ingridentify android app

    Ingridentify/dummy-backend’s past year of commit activity
    JavaScript 1 0 0 0 Updated Dec 19, 2023

Most used topics

Loading…