Suicide and Depression Detection

[sreevidya-16]

Description

• The problem of suicide and depression detection involves creating systems or algorithms that can identify individuals at risk of suicide or experiencing depression based on various indicators.
• These indicators include behavioral patterns, language used in communication (such as social media posts or text messages), physiological signals, and other relevant data points.
• The goal is to develop tools that can accurately assess the mental health status of individuals, provide timely interventions or support, and potentially prevent self-harm or suicide attempts.
• This area of research and development typically employs interdisciplinary approaches, combining psychology, psychiatry, data science, and machine learning to create effective detection and intervention strategies.

@sanjay-kv, this pull request Fixes #738 (issue)

Type of change

• Added a new machine learning frameworks, libraries or software.
• Documentation update

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings

[github-actions]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊