Code repo for JMIR Mental Health paper: Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: An Observational Study Using Natural Language Processing Analysis

An interactive map that plots U.S. CDC suicide rate and population data on a county level built with React and Python.

Georgia Tech class project to validate the findings of a paper utilizing a CNN to improve classification rates of social media posts discussion self-harm and suicide.

hotline resources for transgender people

Repository for Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore

Course Project for CSE-343 (Machine Learning) - Monsoon 2023

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

This AI chatbot goes beyond the ordinary Chat GPT bots. This bot has undergone specialized training and fine-tuning, tailored specifically for this particular use case. It's not just a generic AI model; it's a customized solution. The dataset is primarily focused on relevant clinical literature related to Suicidal Ideation, Depression and Anxiety

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.

This is an implementation of the attention-based hybrid architecture (Ghosh et al, 2023) for suicide/depressive social media notes detection.

Mapping patient interactions in psychiatric presentations to a tertiary emergency department using network science and machine learning

Depression and Suicidal Thoughts Support Chat App

This project was completed as part of the Data Acquisition and Pre-Processing Course at Drexel University, Philadelphia. The project focused on acquiring and analyzing suicide data, conducting web scraping to gather the dataset from various websites, and providing insights into suicide prevention agencies to enhance target audience outreach.

Prediction of suicide risk on adult population of public workers in Brazil.

hosts file for blacklisting websites promoting suicide and/or socially toxic behavior

In this project, we have analyzed the Suicide Cases from 1985 - 2016 using Flourish and presented the findings with the help of Google Slides.

Building a suicidal text detection model and mental health chatbot with deep learning models and transformers.

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.

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

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)