Social Media platform such as Twitter is mined to obtain data regarding Suicidal Instincts (modules can extended to any other data mining application)

Windows Suicide Prevention Protocol, to stop you or anyone from suicides or act as a parental control

To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.

Creating a classifier that can detect suicidal intent based on dataset from Kaggle where reddit posts from r/SuicideWatch and r/Depression has been gathered (IN PROGRESS)

Clustering of suicidal / non-suicidal poets using k-means and PSO

In this project, three different models based on GAT, GCN and SAGE have been implemented to examine their performance on two prominent social networking platforms, namely Twitter and Reddit.

Data augmentation and supervised learning methods for trauma-related dissociation.

A data project using the suicide rates dataset from Kaggle and other datasets that may be introduced along the way. The focus of the analysis will be on identifying trends and patterns in the data to shed light on the factors that contribute to suicide.