Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
Android based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.
A cnn framework on Android platform, implemented with RenderScript and java, support MobileNet-SSD and faster-rcnn. No JNI/C++ or thirdparty dependencies.
Mobile Version of Teachable Machine - Contribution to The Teachable Machine Project
A example to demonstrate the usage of JavaCV and CNN for gender and age recognition
An Android app for real-time facial emotion recognition, designed to improve accuracy for Middle Eastern faces and women wearing hijabs. The CNN model is trained on a hybrid dataset (FER2013, CK+, JAFFE, and IEFDB), achieving 88% accuracy on the hybrid test set and 90% on IEFDB test set.
Automatic image captioning on Android-based mobile application with CNN and multi-layer GRU encoder-decoder model
Repository containing the code for the paper: "TouchSense: Classifying Finger Touches and Measuring their Force with an Electromyography Armband"
Simple Mobile App for License Plate Recognition.
Get 99.13% test accuracy MNIST with only 300 lines of code CNN by JAVA
Tensorflow object detection android app
A Java-based implementation of Convolutional Neural Networks (CNN) for character recognition. This repository includes the necessary code, datasets, and documentation to train and evaluate a CNN model for recognizing handwritten or printed characters.
ROIAlign is used for object detection, this program shows in a GUI how ROI Align works.
Android app that recognize MNIST Handwritten Digits using a CNN.
Java based Convolutional Neural Network package running on Apache Spark framework
SUTD 50.003 ESC Indoor Tracking Project with UnaBiz
PlantAi is a ResNet-based CNN model trained on the PlantVillage dataset to classify plant leaf images as healthy or diseased. This repository includes PyTorch training code, tools to convert the model to TensorFlow Lite (TFLite) for deployment, and an Android app integrating the model for real-time leaf disease detection from camera images.
🚀 CNN Parameter Tuning for Rocket Landing system - Coursework of Computation Intelligence at Napier University
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