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

hotline resources for transgender people

Predicting suicidal ideation on Reddit using machine learning and DistillBERT

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

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

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

Cove brings all critical information into one location for ease of access when experiencing a suicidal crisis. This digital version of a safety plan is accessible online and offline, leveraging Angular for its front-end and a serverless AWS Amplify backend.

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

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

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

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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)

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

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

A in depth view of country development indicators and the impact of these features against suicide rates and happiness scores worldwide.

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