EURUS is an application that helps you determine whether it's feasible to have a windmill in a particular location or not. It uses logistic regression as a machine learning model to predict the outcome.
EURUS is built with the following technologies:
- Flutter: A mobile application development framework that allows building cross-platform applications using a single codebase.
- Flask: A web framework written in Python that provides tools to build web applications.
- Firebase: A mobile and web application development platform that provides backend services such as hosting, database, storage, and authentication.
- Logistic Regression: A statistical method used to analyze and predict the outcome of a categorical dependent variable based on one or more independent variables.
We would like to express our sincere thanks and gratitude to EDGK and SJEC for organizing the HacktoFuture hackathon. It was an incredible experience for all the participants, and we are grateful to have been a part of it.
If you want to contribute to EURUS, feel free to submit a pull request. Before you do so, please make sure to read the CONTRIBUTING.md file for guidelines on how to contribute.
EURUS is licensed under the MIT license. See the LICENSE.md file for more information.