Title: Text-Based Emotion Detection Using Machine Learning

[Balaji91221]

Initiative (Required)

GSSoC (Girl Script Summer of Code) 🌸

Is your proposal related to a problem? Please describe.

The project aims to create a machine learning-based application capable of detecting emotions from textual input. This will involve preprocessing text data, building a classifier model, and implementing a user interface to display emotion predictions. The project will focus on providing accurate results for emotions like joy, sadness, anger, fear, and others.

Key Features:

Text Preprocessing: Tokenization, removal of stopwords, and stemming/lemmatization.
Model Training: Using algorithms like Logistic Regression or Support Vector Machines for classification.
User Interface: An interactive frontend for users to input text and receive emotion predictions.
Documentation: Clear steps for installation and usage, plus an overview of the ML pipeline.

Add any other context or screenshots about the proposal request here.

[github-actions]

@Balaji91221

It's great having you contribute to this project

Thanks for opening this Issue 🙌 , Welcome to Project Guidance 💖 We will review everything and get back to you.
Make sure to give a star to this repo before making a fork! Thank you :)

[SakiraAli1115]

I am mentor of this project.
Hello @Balaji91221
I appreciate your pull issue , can you give working video and thank you for your contribute!!!

[Balaji91221]

Definitely i will send as soon as possible

[Balaji91221]

@SakiraAli1115

https://drive.google.com/file/d/1my1YR2vjTdXyzmskg8kZ4McKjjBZtX6l/view?usp=sharing

[Balaji91221]

Hi @SakiraAli1115,

Could you please review my pull request at your earliest convenience? I’m available to make any adjustments as needed and would love to help move this forward.

Thank you so much for your time!

[github-actions]

Hi @Balaji91221 👋, your issue #1442 has been successfully closed ✅. Thank you for your valuable contribution! 🙌