Graduation Project - Fayoum Center

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.

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.

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

Aplikasi Berbasis Android untuk Mengklasifikasikan Spesies Ikan Cakalang dan Tongkol

Android App

Bengali handwritten number recognizing 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.

Flower recognition android application

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

Eggplant biotic stress detection app using CNN

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

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.

Watermelon disease classification with CNN based Android

Mobile App for Skin Lesion Classification using MobileNet

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

Fastai classification mobile app using flutter

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