Update README.md

Author: mirsazzathossain

README.md

@@ -1,4 +1,4 @@
-# radio-galaxy-classifier
+# RGC: Radio Galaxy Classifier 📡✨
 
 [![Release](https://img.shields.io/github/v/release/mirsazzathossain/radio-galaxy-classifier)](https://img.shields.io/github/v/release/mirsazzathossain/radio-galaxy-classifier)
 [![Build status](https://img.shields.io/github/actions/workflow/status/mirsazzathossain/radio-galaxy-classifier/ci.yml?branch=main)](https://github.com/mirsazzathossain/radio-galaxy-classifier/actions/workflows/ci.yml?query=branch%3Amain)
@@ -7,69 +7,19 @@
 [![License](https://img.shields.io/github/license/mirsazzathossain/radio-galaxy-classifier?label=license)](https://img.shields.io/github/license/mirsazzathossain/radio-galaxy-classifier?label=license)
 [![Pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)
 
-This is a template repository for Python projects that use uv for their dependency management.
+Welcome to **RGC** (Radio Galaxy Classifier) — a Python package designed to process and classify radio galaxy images with ease! 🌌 The acronym also alludes to **Radha Govinda Chandra** (1878–1975), a Bangladeshi-Indian variable star observer who made significant contributions to astronomy. 🔭✨
 
-- **Github repository**: <https://github.com/mirsazzathossain/radio-galaxy-classifier/>
-- **Documentation** <https://mirsazzathossain.github.io/radio-galaxy-classifier/>
+### Features 🚀
+- 📊 **Data Preprocessing**: Simplifies handling of radio images.
+- 🧠 **Classification Tools**: Provides tools for categorizing Narrow-Angle Tailed (NAT) and Wide-Angle Tailed (WAT) galaxies.
+- 🛠️ **Customizable Pipelines**: Build flexible pipelines for image analysis.
 
-## Getting started with your project
-
-### 1. Create a New Repository
-
-First, create a repository on GitHub with the same name as this project, and then run the following commands:
-
-```bash
-git init -b main
-git add .
-git commit -m "init commit"
-git remote add origin git@github.com:mirsazzathossain/radio-galaxy-classifier.git
-git push -u origin main
-```
-
-### 2. Set Up Your Development Environment
-
-Then, install the environment and the pre-commit hooks with
-
-```bash
-make install
-```
-
-This will also generate your `uv.lock` file
-
-### 3. Run the pre-commit hooks
-
-Initially, the CI/CD pipeline might be failing due to formatting issues. To resolve those run:
-
-```bash
-uv run pre-commit run -a
-```
-
-### 4. Commit the changes
-
-Lastly, commit the changes made by the two steps above to your repository.
+### Documentation 📚  
+Find detailed guides and examples at **[Documentation](https://mirsazzathossain.github.io/radio-galaxy-classifier/)**.
 
+Get started quickly by installing with:
 ```bash
-git add .
-git commit -m 'Fix formatting issues'
-git push origin main
+pip install rgc
 ```
 
-You are now ready to start development on your project!
-The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.
-
-To finalize the set-up for publishing to PyPI, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/publishing/#set-up-for-pypi).
-For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/mkdocs/#enabling-the-documentation-on-github).
-To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/codecov/).
-
-## Releasing a new version
-
-- Create an API Token on [PyPI](https://pypi.org/).
-- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting [this page](https://github.com/mirsazzathossain/radio-galaxy-classifier/settings/secrets/actions/new).
-- Create a [new release](https://github.com/mirsazzathossain/radio-galaxy-classifier/releases/new) on Github.
-- Create a new tag in the form `*.*.*`.
-
-For more details, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/cicd/#how-to-trigger-a-release).
-
----
-
-Repository initiated with [fpgmaas/cookiecutter-uv](https://github.com/fpgmaas/cookiecutter-uv).
+Explore the tools and contribute to enhancing radio galaxy research! 💫