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Wildnest

Category

Mobile Apps

Description

WildNest is a mobile app for classifying plants and detailing their characteristics, including toxicity levels, designed to help outdoor adventurers identify whether plants are safe or poisonous. Built using TensorFlow machine learning.

URL

https://github.com/johansensagala/ml-project

Tech

Firebase Firebase: Firebase is a platform developed by Google for building mobile and web applications.
Python Python: Python is a high-level, general-purpose programming language.
TensorFlow TensorFlow: TensorFlow is an open-source machine learning framework developed by Google.
Node.js Node.js: Node.js is a JavaScript runtime built on Chrome''s V8 JavaScript engine.
MySQL MySQL: MySQL is an open-source relational database management system.

WildNest is a mobile application developed as a collaborative project for a course at Bangkit Academy, a Kampus Merdeka program. The app uses machine learning powered by TensorFlow to classify plants and provide detailed information about them, including their toxicity levels. Designed especially for outdoor enthusiasts, hikers, and explorers, WildNest helps users identify plants they encounter in forests or mountainous areas, enabling them to know if a plant is safe to touch or consume, or if it is poisonous and should be avoided. By simply capturing or uploading a plant image, the app analyzes and classifies the species, then displays comprehensive details such as botanical characteristics and danger ratings. This feature enhances safety for those who venture into nature, reducing risks related to poisonous plants. WildNest combines cutting-edge technology with practical application, making it an essential tool for nature lovers seeking knowledge and protection in the wild.

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