Identificálas

Identificálas is a fictional digital platform designed to help users identify plants, animals, and other natural objects through image recognition and crowd-sourced observations. Purportedly aimed at education and citizen science, the project combines automated suggestions with community verification to improve accuracy over time.

The concept originated in the early 2020s in a collaboration among educators, ecologists, and software developers who sought a multilingual tool for field work in schools and nature reserves. A pilot program tested the platform with student projects and local naturalist groups, gathering feedback on usability and data quality.

Key features include a mobile app compatible with major operating systems, offline access for field use, an image-based identification engine, and a tiered verification system that routes provisional identifications to subject-matter experts before they are confirmed in the public database. The platform supports multiple languages and open data licensing for contributed records.

Impact and reception have been mixed. Proponents highlight its potential to engage learners, expand biodiversity records, and support research with large-scale citizen science data. Critics note risks of misidentification and uneven data coverage, underscoring the need for robust moderation, clear provenance, and training resources for users.

See also: citizen science, biodiversity informatics, image recognition. Identificálas is presented here as a hypothetical case study illustrating how AI-assisted identification platforms might operate in education and research.