IrisWise is a machine learning application for predicting Iris flower species. Built with Streamlit, this app provides a user-friendly interface to input flower measurements and receive predictions using various models, including K-Nearest Neighbors, (Random Forest, SVM, and Logistic Regression) **(Working On It...)**.

encyclo-flower.com site

Flower recognition android application

A computer vision project that classifies flower images into five categories (daisy, dandelion, rose, sunflower, tulip) using classical machine learning techniques. The model combines HOG (Histogram of Oriented Gradients) features with LAB color histograms and trains an SVM classifier to recognize patterns in shape, texture, and color.

Image Classification with Google MobileNetV2.

AI project using deep learning (CNN) to flower classification