Feeding video frames into a trained neural network for inference

Smile App mimics a person's emotions, age, and gender from CAM, Video, and Picture and sends data to the MQTT broker. In the frontend, Smile is changing real-time

This is a course project (named Poem Analyst) from NUS-ISS. We build a pipline for Chinese poerty lovers to understand this complex linguistic mastarpieces from a quantifiable way.

License plate text extraction using Yolov5 pre-trained model

This is the implementation of paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim

Feature extraction of Open Access Series of Imaging Studies (OASIS) using Keras applications.

A flow to compile ESPCN (super resolution) using TVM and run the compiled model on CPU to calculate PSNR

Image Classification for a City Dog Show Project Goal Improving your programming skills using Python. In this project, I use a created image classifier to identify dog breeds. It is for one of the submission for the udacity nanodegree program

Traffic Sign Recognition Project for my Internship on Prime Layer

Bachelor Thesis in Telecommunication Technologies Engineering.

building a model to classify the emotion of an image face: Angry, Disgust, Fear, happy, Sad, Surprise, Neutral.

images classification demo, with pre-trained models on ImageNet,using Pytorch

Detecting faces utilizing various computer vision methodologies such as haarcascades and cutting-edge YOLO (You Only Look Once).

The concept of the project is to generate Arabic captions from the Arabic Flickr8K dataset, the tools that were used are the pre-trained CNN (MobileNet-V2) and the LSTM model, in addition to a set of steps using the NLP. The aim of the project is to create a solid ground and very initial steps in order to help children with learning difficulties.

Project Repository for HLCV Summer 2022

A Streamlit web application for Voice recognition using a pre-trained speech embedding model.

This project utilizes deep learning techniques to identify cable breaks and thunderbolts in images

A Novel Approach for Alzheimer's Classification Utilizing Ensemble Learning on Pre-trained Neural Networks Fine-tuned on Alzheimer's Data