AI-based project aiming to detect tree species using image classification
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Updated
Apr 26, 2025 - Jupyter Notebook
AI-based project aiming to detect tree species using image classification
Count the number of leaves present in an image using OpenCV-python.
Supplimental information, data, and code for Newsome et al. 2020. "Variation within laminae: Semi-automated methods for quantifying leaf venation using phenoVein" in Applications in Plant Sciences 8(5) e11346.
This repository contains code and algorithms for working with binary trees, including creation, traversal, and various tree operations. It serves as a resource for learning and implementing binary tree data structures in C programming language which could be adapted to any language of choice.
Leave Management App built with .NET and C#. Provides a web interface to request, approve, and track employee leave.
Bridge raw large language models to production-ready AI with a lightweight Rust layer enabling integration, customization, and control.
Rasilmali a product developed and maintained by Kichwen Service Limited meaning (Resources). Rasilmali is a business process management software that allows an organization to use a system of integrated applications to manage the business and automate many back-office functions related to technology, services and human resources. customizable ERP
Identification of Species of Medicinal Leaves using a pre-trained CNN model
Manage time invested in various activities in your office. HRs and Managers can view and manage time for all employees and employees can view their overtime, leaves and holidays in an easy to use application
Plant science stomatal outreach game project
Wave:https://wave-effects.netlify.app/ Leaves: https://leaves-animation-css.netlify.app/ Product:https://product-display-css.netlify.app/ Emoji:https://emoji-animation.netlify.app/ Smoke:https://smoke-effect.netlify.app/
Human Resources Management for Employees and Their Attendance Management
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