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

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

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

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

From growing up in the heart of Silicon Valley, I have always wondered what was the factors that play a role in Suicide. There have been a plethora of suicide clusters from my High School in Palo Alto. This project seeks to explore the underlying factors. We will use a sample of 44,000 gather data from 141 different Countries, between the 80's …

hotline resources for transgender people

Statistical analysis to identify the key factors that attribute to the progression of depressive symptoms

This dashboard is intended to provide some general insight on the delicate matter of suicides all over the world based on a dataset with data that range from 1985 to 2015 for every country accounting for sex, age and economic variables such as per capita GDP.

Detection of phrases in Spanish with a suicidal tendency in social networks

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

Predicting suicidal ideation on Reddit using machine learning and DistillBERT

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.

Predicting and Preventing Drastic Actions by Processing Heart Rate and Behaviors and Utilizing Innovative AI Methods

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

The time series analysis of the search keyword 'how to suicide' in Thai by Google Trend

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)