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ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Smart Food Application to Detect Fresh Vegetables

By Lukesh S

In today’s fast-paced digital world, making informed food choices has become increasingly challenging, especially for the younger generation. 

With the growing reliance on online grocery shopping and a lack of direct interaction with fresh produce, many people struggle to identify healthy and hygienic vegetables, particularly green leafy ones that vary in color, size, and texture. 

As technology continues to reshape our lifestyle habits, there is a pressing need for a smart food application that can guide users toward better food decisions using image recognition and machine learning. This is what we have discussed in this article!

Table of contents


  1. Why Do We Need This Smart Food Application?
  2. How Does This Smart Food Application Work?
    • Programming and Application Development
    • Hardware Architecture:
  3. Conclusion:

Why Do We Need This Smart Food Application?

Why Do We Need This Smart Food Application?

The food we consume needs to be checked to ensure it is consumable, hygienic, and fresh. The older generation people were much active when compared to today’s generation because the people then didn’t have any smartphones or smart devices or smart applications to help them in their day-to-day life. 

Hence, they were hardworking, and every work was done manually. However, in today’s generation, because of the availability of different smart devices and smart applications, people are less involved in the marketing of consumable goods and highly dependent on online shopping for groceries & everyday needs, because of which they find it difficult to identify fresh vegetables. Nowadays, eating healthy is easier said than done.

Currently, there are many applications that help us make smart food choices. Some of them are:

  • Fooducate: This application helps the user to track his/her food intake and physical activity, and in turn suggests that the user work out if physical activity is insufficient.
  • Waterlogged: This application keeps track of water consumed by the user and reminds the user to meet his/her hydration goals. This helps in keeping the body hydrated.
  • MyPlate: This application has a database of over 2 million foods, which makes it easy for the user to log the food he/she eat. It also keeps track of the calories and daily diet goals based on personal health needs.

How Does This Smart Food Application Work?

This application works on image processing and machine learning. The application can be developed by following the steps below.

  • First and most important is the collection of a dataset, i.e., a collection of images of different green leafy vegetables. The maximum number of images needs to be collected to make the application precise.
  • Labeling the images and dividing the dataset into two parts. i.e., train data and test data to avoid data leakage.

Programming and Application Development

Programming and Application Development

Hardware Architecture:

Hardware Architecture

The three most important layers of mobile architecture design are

1. Presentation layer: This layer consists of two important components, the User interface and UI process. The main focus of this layer is to decide themes, color, fonts, etc., of the app and the end user’s mobile application presentation.

2. Business layer: This layer is for elements on the business front. It includes business components, workflow. This layer looks at how the mobile application will present the business to the end users.

3. Data access layer: This layer keeps an account of the application’s needs and offers secure data transactions.

To succeed, it is important to build a better architecture. The following things need to be considered while developing the architecture.

1. Determining the type of device is most important. Whether it is an Android phone, an iPhone, or any other. Also, things like screen size, resolution, ram, storage space, and CPU need to be considered.

2. Bandwidth scenarios should be considered.

3. The user interface of the application should be creative and easy to use.

4. Selection of the right navigation method.

If you want to learn more about how machine learning helps in our day-to-day life and how learning can impact your surroundings, consider enrolling in GUVI’s IITM Pravartak Certified Artificial Intelligence and Machine Learning course that teaches NLP, Cloud technologies, Deep learning, and much more that you can learn directly from industry experts.

MDN

Conclusion:

In conclusion, healthy food is the most important factor to live a healthy life, and in order to eat healthy food, the selection of fresh healthy vegetables is most important. Many people of the current generation find it difficult to identify fresh vegetables. The world is changing rapidly, and technology is growing faster. 

This has impacted the current generation to use technology in every scenario. Hence, to overcome this problem, a smart food application can be used that uses a mobile camera to identify fresh and unhealthy green leafy vegetables.

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Table of contents Table of contents
Table of contents Articles
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  1. Why Do We Need This Smart Food Application?
  2. How Does This Smart Food Application Work?
    • Programming and Application Development
    • Hardware Architecture:
  3. Conclusion: