Write Alphabet, Words and Sentences with your eyes.

Overview

The-Next-Gen-AI-Eye-Writer

The Eye tracking Technique has become one of the most popular techniques within the human and computer interaction era, this is especially important research for people which have difficulty with speech and movement disabilities. The primary function of this technology is based on a device that tracks the movement of the eye to identify a position or scan a display. Suitable devices for eye movement can then be integrated in accordance with the requirements of the organization. Currently, eye tracing devices are becoming increasingly cheaper which make them an interesting resource for research. Although numerous studies have been conducted involving applications of eye tracking with a low-cost device, few studies have compared the actual eye tracking systems themselves.

Most of the people can read, write, listen, and do anything because their body communicates with the mind. So mind controls every moment of the body. But some people can’t do this because their body may not communicate with their brain, which means the brain is active and the body is in-active. This kind of people can think but not implement their thoughts. So Now, By using an “Eye-Writer” they can express their thoughts.

The Eye-Writer Project uses Artificial Intelligence, OpenCV, Python, Python Frameworks, dlib, Neural Networks and Computer Vision. The Motive of the Project is to give voice to the voiceless. If a person is not able to write and talk but able to read and visualise things then this project would definitely help them in communicating with his/her loved ones via reducing the communication gap by writing alphabet, words and sentences with his/her eyes.

Output Screen

Owner
Rohan Kasabe
Lifelong learner.
Rohan Kasabe
Implementation of Fast Transformer in Pytorch

Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install

Phil Wang 167 Dec 27, 2022
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Hiring We are hiring at all levels (including FTE researchers and interns)! If you are interested in working with us on NLP and large-scale pre-traine

Microsoft 7.8k Jan 09, 2023
Official implementation of Meta-StyleSpeech and StyleSpeech

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dongchan Min, Dong Bok Lee, Eunho Yang, and Sung Ju Hwang This is an official code

min95 169 Jan 05, 2023
MicBot - MicBot uses Google Translate to speak everyone's chat messages

MicBot MicBot uses Google Translate to speak everyone's chat messages. It can al

2 Mar 09, 2022
Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.

Negative Sampling for NER Unlabeled entity problem is prevalent in many NER scenarios (e.g., weakly supervised NER). Our paper in ICLR-2021 proposes u

Yangming Li 128 Dec 29, 2022
Twewy-discord-chatbot - Build a Discord AI Chatbot that Speaks like Your Favorite Character

Build a Discord AI Chatbot that Speaks like Your Favorite Character! This is a Discord AI Chatbot that uses the Microsoft DialoGPT conversational mode

Lynn Zheng 231 Dec 30, 2022
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

MedMCQA MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering A large-scale, Multiple-Choice Question Answe

MedMCQA 24 Nov 30, 2022
Use PaddlePaddle to reproduce the paper:mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

MT5_paddle Use PaddlePaddle to reproduce the paper:mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer English | 简体中文 mT5: A Massively

2 Oct 17, 2021
jel - Japanese Entity Linker - is Bi-encoder based entity linker for japanese.

jel: Japanese Entity Linker jel - Japanese Entity Linker - is Bi-encoder based entity linker for japanese. Usage Currently, link and question methods

izuna385 10 Jan 06, 2023
Code for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

This repo provides the code of the following papers: (GAR) "Generation-Augmented Retrieval for Open-domain Question Answering", ACL 2021 (RIDER) "Read

morning 49 Dec 26, 2022
PyTorch Implementation of "Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging" (Findings of ACL 2022)

Feature_CRF_AE Feature_CRF_AE provides a implementation of Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging

Jacob Zhou 6 Apr 29, 2022
Let Xiao Ai speakers control third-party devices

A stupid way to extend miot/xiaoai. Demo for Panasonic Bath Bully FV-RB20VL1 逆向 Panasonic Smart China,获得控制浴霸的请求信息(HTTP 请求),详见 apps/panasonic.py; 2. 通过

bin 14 Jul 07, 2022
Unsupervised Language Modeling at scale for robust sentiment classification

** DEPRECATED ** This repo has been deprecated. Please visit Megatron-LM for our up to date Large-scale unsupervised pretraining and finetuning code.

NVIDIA Corporation 1k Nov 17, 2022
Get list of common stop words in various languages in Python

Python Stop Words Table of contents Overview Available languages Installation Basic usage Python compatibility Overview Get list of common stop words

Alireza Savand 142 Dec 21, 2022
Anuvada: Interpretable Models for NLP using PyTorch

Anuvada: Interpretable Models for NLP using PyTorch So, you want to know why your classifier arrived at a particular decision or why your flashy new d

EDGE 102 Oct 01, 2022
Chatbot for the Chatango messaging platform

BroiestBot The baddest bot in the game right now. Uses the ch.py framework for joining Chantango rooms and responding to user messages. Commands If a

Todd Birchard 3 Jan 17, 2022
Mesh TensorFlow: Model Parallelism Made Easier

Mesh TensorFlow - Model Parallelism Made Easier Introduction Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying

1.3k Dec 26, 2022
Python implementation of TextRank for phrase extraction and summarization of text documents

PyTextRank PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension, used to: extract the top-ranked phrases from text document

derwen.ai 1.9k Jan 06, 2023
NLP: SLU tagging

NLP: SLU tagging

北海若 3 Jan 14, 2022
Sequence Modeling with Structured State Spaces

Structured State Spaces for Sequence Modeling This repository provides implementations and experiments for the following papers. S4 Efficiently Modeli

HazyResearch 902 Jan 06, 2023