Meenakshi2000's Stars
asheeshcric/fMRI-TBI
Assessing cognitive fatigue in patients with TBI (Traumatic Brain Injury) from fMRI scans.
rid17pawar/HospitalManagement
hospital management system project is developed using SpringMVC and Hibernate frameworks, Bootstrap for UI, MySQL database for data storage and Maven as project management tool.
Vitali-Vitali/JavaScript-AccuWeather-API-WeatherApp
Forecast for 5 days using AccuWeather API with Geolocation
AsishRaju/Weather-App
Weather App made with vanilla JS using Accuweather API 🌤
bscottnz/weather-app
StergiosHariop/Weather_App
karanS1314/Algo-Visualizer
pcrdoo/digit-tracking
Detection and tracking of handwritten digits on a sheet of paper via webcam, using a CNN
obailkeri/ISL-Interpreter
ISL is Indian Sign Language. It is a project application under SMART COMMUNICATION. The application converts the hand gestures to natural language and also vice versa.
zartajjamil97/Sign-Language-Traslator-Using-Webcam
The Sign Language Translator (SLT) is an extremely important research topic, because of its capability to enhance the communication between the people who are handicapped in hearing and speech. A hand gesture recognition system can help deaf and dumb persons to interact with vocal people without the help of an interpreter or intermediate. Sign languages are some sort of visual languages and natural languages that are used by many deaf and dumb people in all over the world.
Joel-De/Sign-Language-Interpreter
Analyses input from a webcam and outputs what letter you are showing in sign language
harshbg/Sign-Language-Interpreter-using-Deep-Learning
A sign language interpreter using live video feed from the camera.
rrupeshh/Simple-Sign-Language-Detector
Simple Sign Language Detector
tyagiakash926/Resume-Buider
yaswanthpalaghat/Disease-Prediction-system-using-Machine-Learning-and-Flask
This is a disease prediction system based on symptoms build using Machine learning and Flask.It also enables nearest hospital searching through Google GeoLocation API.
Ravi-Singh88/Realtime-hand-digit-detection
Hand Gesture Real-time Digit Recognition using Residual Network and CNN
vjthe1998/Real-Time-Hand-Gesture-detection-and-classification
Hand gesture recognition is very significant for human-computer interaction. In this work, we present a novel real-time method for hand gesture recognition. In our framework, the hand region is extracted from the background with the background subtraction method. Then, the palm and fingers are segmented so as to detect and recognize the fingers.…
Tejas-Nanaware/Haar-Cascades-for-Sign-Language
redgvin/WebTorrentTestApp
rajneeshkumar146/pepcoding-Batches
manpreet1130/RealTime-Sudoku-Solver
Solving sudoku puzzles with the help of OpenCV and PyTorch(CNN)
ThermoNuclearPanda/Project_Automail
Automail is a mind machine interface between the electrical signals in ones brain to mechanical movement
alexandrebarachant/decoding-brain-challenge-2016
Code and documentation for the winning solution to the Decoding Brain Signals Cortana challenge
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
QinXinlan/EEG-experiment-to-understand-differences-in-blinking
nish-nm/Eye-Wink-Detection-Using-Neurosky-Mindwave
In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person
meagmohit/BLINK
Codes and Dataset for the paper titled, "Blink: A Fully Automated Unsupervised Algorithm for Eye Blink Detection in EEG Signals"
ismail-ougamane/EyeD
The project the idea consists of the realisation of a web application that make the classification the 3 Eye disease: Retina, Cataract, Glaucoma and normal Eye.
SharifAmit/OpticNet-71
[ICMLA'19] [Tensorflow] Classifying different Retinal Diseases using Deep Learning from Optical Coherence Tomography Images
damikag/ML-GI_tract_Image_Classifier
ML model to automate classification of anomalies in gastrointestinal tract using Deep Learning.