International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

ECO EYE-AI Powered Species Recognition System

Sakshi SavleStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaMadhumita GhoshStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaTanisha MauryaStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaHarshna PatilStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaProf. Vandana ShindeProfessor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India

Vol 8 No 9 (2024): Volume 8, Issue 9, September 2024 | Pages: 234-238

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 30-09-2024

doi Logo doi.org/10.47001/IRJIET/2024.809027

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Abstract

This paper presents an innovative project ECO EYE – AI powered species recognition system. A software application designed to facilitates species identification by classifying the image. Using the power of Artificial Intelligence & CNN, this system identifies the species in real-time through image recognition. On capturing the image of any plant or animal, the system will analyze the image; it will classify the image and retrieve the detailed information. The system offers detailed information about taxonomy at basic level, habitat, and population status. It also provides their uses and their role in nature. The system aims to serve as valuable resource for students, conservationist, and to those who are passionate to explore the nature and expanding the knowledge about plants and animals. This paper outlines the system’s architecture, detailing the AI models and image classification techniques used for accurate identification. It further includes real world application to increase the knowledge of plants and animal species.

Keywords

Species recognition, image classification, biodiversity, deep learning, nature exploration


Citation of this Article

Sakshi Savle, Madhumita Ghosh, Tanisha Maurya, Harshna Patil, Prof. Vandana Shinde. (2024). ECO EYE-AI Powered Species Recognition System. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(9), 234-238. Article DOI https://doi.org/10.47001/IRJIET/2024.809027

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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