A machine learning project using CNN, Java frontend and socket to share hand gesture pictures to backend, classify the gesture and perform corresponding cursor movement or click.

Graduation Project - Fayoum Center

Flower recognition android application

CNN in TensorFlow using over 50,000 images collected of Mt. Shasta, in Northern California

This is Digit Detect an android application with Artificial Intelligence trained models to predict and generate handwritten digits (0-9) based on the picture, drawing and text.

Android App

This is Project that classifies if a image is a AI generated and traditional taken image and I have used React and Spring Boot for User Interface and User to classification model pipeline also for Authentication and Authorization.

Aplikasi Berbasis Android untuk Mengklasifikasikan Spesies Ikan Cakalang dan Tongkol

An Android application, Automatic detection of plant diseases using Machine learning, Specially for TOMATOES

Eggplant biotic stress detection app using CNN

My first attempt on a Convolutional Neural Network written in Java. The CNN is trained with mnist data to recognize handwritten digits form 0-9

This mobile application is developed as part of our final research project. Its primary function is to classify images of fish commonly found in the Philippines. Users can either take real-time photographs or upload images from their gallery for classification.

An App for the purpose of Generating Speech from American Sign Language.

Fastai classification mobile app using flutter

Watermelon disease classification with CNN based Android

Android App that uses Neural Networks to Classify Images of Gestures taken by Smartphone Camera