Safe Discord Bot Using ML

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Safe Discord Bot Using ML

Kunal Ingawle
Dept.Of Computer Engineering

BRACT VIT, Pune, India

Om More
Dept.Of Computer Engineering

BRACT VIT, Pune, India

Shraddha Bagav
Dept.Of Computer Engineering

BRACT VIT, Pune, India

Pragati Hiwale
Dept.Of Computer Engineering

BRACT VIT, Pune, India

Suraj Gaikwad
Dept.Of Computer Engineering

BRACT VIT, Pune, India

Guided By : Prof . Dr. Ashutosh Mrathe

Vishwakarma Institute of Technology, Pune 411037

Abstract—Discord is a popular real-time chat platform with comprehensive bot support. Bots are common on Discord and offer a variety of services such as moderating aid, games, music, internet searches, money processing, and more. We attempted to create a simple variation in the Discord community by deploying a bot in this study. The purpose of this study is to implement a safe bot in Discord that identifies chat emotions and automatically eliminates chats that are not acceptable for community platforms. Using Machine Learning and sentiment analysis the bot is able to classify the sentences and classify them into different categories of emotions and automatically eliminates the sentences which are categorized as unusual. This helps to make your chat safe and helpful for the community. In the first instance, sentiment analysis finds emotional tones in real-time behind your chat messages and deletes them automatically if any negative correlation is detected in them.

Keywords— Raspberry pi, Discord bot, ML.

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