Task

Creating an app that identifies plant species from a photo (a plant recognition app) requires complex analysis of computer vision, biological data and machine learning algorithms. The priority was to develop good recognition functionality.

Work stages

Analytics

Market and competitor analysis helps to understand current trends and standards in the recognition app industry. This includes studying competitors' apps, their functionality, design, the services they provide and their marketing strategies.

Design

Developing layouts: creating sketches and design layouts of the app pages, including the home page, inner pages, forms and other elements.

Development and testing

After the site is launched, its performance is analyzed by checking the functionality itself. In case of failures or errors, the errors are worked on and fixed.

Features

Integration with an extensive plant database that includes thousands of different plant species. This ensures more complete and accurate information about the recognized species.

Results

7000 plant species entered into the database

392,039 scans made

Reviews

The Alfateam team was always ready to listen to our wishes and respond quickly to our requests. They worked so promptly that questions and fixes were resolved quickly and without delays.