This repository is a collection of resources to help individuals understand and survive workplace bullying. It aims to provide articles, guides, videos, and podcasts that offer support and practical advice.

AUCO is a gamified online tool made with React that focuses on helping primary and middle school teachers to fight against bullying, in terms of detection and mitigation, and offering an open space where the students can communicate their worries to their teachers.

This repository hosts the code from a collaborative degree project with Tietoevry and the Friends Foundation. It focuses on applying various machine learning techniques to detect bullying in textual data from school surveys, aiming to identify the most effective model for high recall.

Deno soundboard (overcomplicated lmao)

上海交通大学本科生全自动抢课脚本-纪念版（不可使用），支持准点开抢、持续捡漏、替换抢课共三种模式。2023/10/15更新。

School project by Constantin KIFFER and Nathan GREFF (Jean XXIII) to sensibilize students to bullying via a website that gives instructions for those needing help.

PeNSE (Pesquisa Nacional de Saúde Escolar) is a ressearch from IBOPE (Instituto Brasileiro de Opinião Públia e Estatística) aim to understund the student's behavior, personal and social difficulties.

Estudo feito no final do módulo 3 (01/2021) do bootcamp Alura de data science aplicada

This is the back-end of AUCO, made with NodeJS, MongoDB and Express. AUCO is a gamified online tool made with React that focuses on helping primary and middle school teachers to fight against bullying, in terms of detection and mitigation, and offering an open space where the students can communicate their worries to their teachers.

Detecting traces of bullying in Twitter posts using machine learning and natural language processing

This is an awareness video of what academic bullying can look like

The anti-bullying initiative aimed to increase the awareness of bullying in academia, to create strategies of how to recognize and reduce bullying, as well as share strategies for victims on how to overcome these challenges during their academic career.