Vietnamese Student Feedback Sentiment Analysis

UNet detection of road networks and buildings

Detect Traffic lights using YoloV4 and use CNN for more accurately classifying the state of traffic lights

Monitor the environs of the house with multiple cameras and Raspberry Pi, Python, MQTT and Node-Red.

This project implements a Siamese Neural Network for efficient image triplet analysis, seamlessly integrating OpenCV for image collection. Three categories of images - positive, negative, and anchor - are collected using OpenCV and preprocessed to standardize dimensions to 100x100 pixels in JPEG format.

End-to-end deep learning project...

A cloud-based, end-to-end ML pipeline for detecting brain tumors from MRI scans using TensorFlow, Apache Spark, and Google Cloud Platform (GCP). This project leverages big data, deep learning, and distributed computing to achieve high-accuracy tumor classification and real-time inference.

2nd Place Winner @silicon Hacks 2024 - SJFit.Ai is designed for San Jose State University students and anyone looking to lead a fit lifestyle. This application tracks users' physical activity by analyzing joint angles.

Building a simple chat-bot using Microsofts MetaLWOz dataset.

Ona öğrettiklerinizi tarayıcınızda hatırlayan, TensorFlow.js ile güçlendirilmiş dijital bir oğul.

This document describes rice image classification using TensorFlow with the Kaggle dataset. The process includes preprocessing, resolution changes, 80:20 data split, and training a Sequential CNN model using Adam optimizer and EarlyStopping, stopping at epoch 2 when accuracy reaches 97%. The model is converted to TFLite, TensorFlow.js, and SavedMod

Industry 4.0 collaborations with Control2K, for using AI on IOT devices to analyse factory machinery

Data preprocessing and visualization using Python.

This project explains how to move from a Jupyter notebook phase to a production ready training script that can run in a distributed training mode using Azure ML, Horovod and TF

Food Vision model for 101 different food classes

Windows 12? Nah, just a deep learning project

A Flask web application using CNN to classify Mridangam strokes from audio files, with training scripts and real-time prediction features.