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

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

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

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

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

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

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

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

Modelo para determinar la probabilidad de un suicidio en la ciudad de Medellin.

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

A comparison of three discriminative machine learning models (Logistic Regression, Long Short-term Memory, Transfoermer) to determine which is best suited for suicide ideation detection

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

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

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)

AI chatbot evaluation benchmark for mental health and suicide prevention with rule-based ethical alignment, inclusivity scoring, and sentiment analysis. Research paper submitted to AI & Society (Springer Nature) under review.