omeralvin's Stars
raflyfahrezi/javascript-ccdp
raflyfahrezi/javascript-ccdp-template
azisnaufal/ObserverPattern
azisnaufal/AdapterPattern
azisnaufal/Retrofit
azisnaufal/BuilderPattern
azisnaufal/TryMVVM-MVC-MVP
AmazMod/AmazMod
Phone/Watch app that provides a new notification system along with other features for Amazfit Pace/Stratos/Stratos3/Verge watches
jlaskowska/questionnaires
A Flutter App with psychological questionnaires.
muhammadtalhasultan/flutter-login-ui-kit
chipweinberger/flutter_blue_plus
Flutter plugin for connecting and communicationg with Bluetooth Low Energy devices, on Android, iOS, macOS
micw/hacking-mifit-api
wolfc01/flutter_reactive_ble_uart_example
gardyna/wearable_communicator
A simple utility plugin to make it easier for a flutter project to add and communicate with wearable devices
creotiv/MiBand2
Library to work with Xiaomi MiBand 2
simranss/my_fit
Aafreen2603/Sentiment-analysis-depression-detection
skaurl/depression-diary
aksharbhayani/ProjectX
A mobile application to detect the depression level in patients by facial and Twitter analysis.
ajansha/SOCIAL-ANXIETY-DETECTION-USING-NEURAL-NETWORKS
Use of Social Networking Sites (SNS) and prevalence of anxiety and depression among the young population is on the rise. Millions of users share opinions on different aspects of life every day. The online medium has become a significant way for people to express their opinions and with social media, there is an abundance of opinion information available. Using sentiment analysis, the polarity of opinions can be found, such as positive, negative, or neutral by analyzing the text of the opinion. There are many ways in which social network data can be leveraged to give a better understanding of user opinion such problems are at the heart of natural language processing (NLP) and data mining research. Although diagnosis of depression using social networks data has picked an established position globally, there are several dimensions that are yet to be detected. The anxiety identification system is not a single process. This system consists of various modules. The success rate of each and every step is highly important to ensure the high accuracy of the system.
Bhuvanaa28/Sentiment-Analysis-for-Depression-Detection
The aim of this project is to predict whether a person is depressed or not using different machine learning algorithms based on the tweets of the user.
sidmulajkar/sentiment-predictor-for-stress-detection
Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.
nitrotap/mental-health-check
A mental health quiz app to help individuals check in with themselves.
hariharitha21/Detection-of-Anxiety-and-Depression
Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
garytang75/MindCue
MindCue is an app designed to be a pocket helper for mental well-being. User can do journal keeping via text/audio. App provides feedback based on text analysis and user inputs. App utilizes flutter, AWS serverless framework.
IshitaArora-246/moodBuster
A growing community working towards changing the way individuals think and act to mental health problems.
Shivam1337/MindCrafter
AI & ML Based Mental Health Diagnosis & Consulting App.
IIITManjeet/Hack36
Mental Health Flutter Application - attaching deployed API for ML Model
huaweicodelabs/WearEngine
pauldemarco/flutter_blue
Bluetooth plugin for Flutter