transformers pytorch gpt_neox text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
# 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.

```bash
pip install -r requirements.txt
```
This command installs all necessary Python packages for Elina_GreenFin.



## Usage
<br>
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:

1. AI-powered analytics for green finance.

2. Trend and risk prediction.

3. A user-friendly web dashboard.

## Contributing
To contribute:
1. Fork the GitHub repository.
2. Create a new branch for your feature or fix.
3. Make changes and pass all tests.
4. 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
<br>
temenos for sponsoring the event anf giving us this opportunity

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

---
license: mit
---
