- Istanbul, Turkey
-
20:22
(UTC +03:00) - begumarici.github.io
- in/begumarici
- https://www.kaggle.com/begumarici
Highlights
- Pro
Starred repositories
A SwiftUI, lazy loaded, paging, panning, and zooming view for images and more
Awesome-LLM: a curated list of Large Language Model
A list of developer portfolios for your inspiration
macOS System-wide Audio Equalizer & Volume Mixer 🎧
The repository contains the list of awesome✨ & cool web development beginner-friendly✌️ projects!
A flutter plugin that uses MLKit on iOS/Android platforms to enable body pose and mask detection using Pose Detection and Selfie Segmentation APIs for both static images and live camera stream.
The ThinkSys Mediapipe Plugin brings pose detection to Flutter apps, filling a gap for iOS developers. It offers real-time tracking, easy integration, and customizable options for fitness and healt…
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
Dynamic and static visualizations for Mental Health datasets.
Türkiye'nin açık veri kaynakları | Curated list of open data platforms of Turkiye
Detecting cavities or tooth decay on images of teeth using Tensorflow's Object Detection API.
It helps users to virtually play musical instruments by waving their hands while holding a coloured object in the air.
Floating piano keys in the air. Bring your finger to the keys you want to play and click the keys and make your beautiful melodies
Virtual drum and xylophone leveraging computer vision. Best Intel Hack Winner @ UofTHacks VI
This project enables you to play virtual drums simply by using concepts of image processing and computer vision.
A hobby project which includes a hand-gesture based virtual piano using a mobile phone camera and OpenCV library functions
Play piano through visual tracking of fingers through the air.
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
This is the FER+ new label annotations for the Emotion FER dataset.
Real-time American Sign Language (ASL) letters detection, via PyTorch, OpenCV, YOLOv5, Roboflow and LabelImg 🤟