Elina_GreenFin - AI-driven Predictive Analytics for Green Finance

Introduction

Elina_GreenFin is a cutting-edge tool utilizing artificial intelligence to forecast trends and risks in green finance. It provides financial institutions with critical insights, enabling them to make well-informed and sustainable investment decisions.The model is stored on hugging facea https://huggingface.co/sudhanvasp/ELINA

Installation

Before installing Elina_GreenFin, make sure Python is installed on your system.

pip install -r requirements.txt

This command installs all necessary Python packages for Elina_GreenFin.

Usage

Follow these steps to start using Elina_GreenFin:

Clone the Elina_GreenFin repository:

git clone https://github.com/sudhanvasp/Elina_GreenFin.git
cd Elina_GreenFin

Optionally, create a virtual environment:

python -m venv venv

Activate the virtual environment: On Windows:

venv\Scripts\activate

On macOS and Linux:

source venv/bin/activate

Run app.py

python app.py

Access the dashboard at http://localhost:5000 .

Elina_GreenFin offers:

AI-powered analytics for green finance.
Trend and risk prediction.
A user-friendly web dashboard.

Contributing

To contribute:

Fork the GitHub repository.
Create a new branch for your feature or fix.
Make changes and pass all tests.
Submit a pull request with a detailed description.

License

Elina_GreenFin is under the MIT License. See the LICENSE file for details.

Credits

IITM for hosting Encryption
temenos for sponsoring the event anf giving us this opportunity

Contact

Email: sudhanvasp@gmail.com Elina_GreenFin: Empowering sustainable investment decisions in green finance.

sudhanvasp
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ELINA