Treffer: A platform to help in generating code for machine learning and data science projects.

The world of Data Science and Machine Learning is constantly changing and evolving in the 21st century. The abundance of data leads to many fields of analysis that can be performed. The projects that are done based on the data can lead to failures at times because of changing requirements and complexity of the project. Because of such reasons, the project is not moved into production. The present work attempts to generate web application code using the dataset and the algorithm it is trained on. The dataset is taken and trained based on the algorithm selected by the user. It returns a pickle file and the HTML templates for the frontend of the application. The application is arranged in the form of a Flask application and is zipped and sent to the user. Using the present work the user need not learn anything about web development. The user only needs to process and clean the data for the application and upload it in the application. The present work is designed to be the final step of deploying the application into production after the work done in cleaning and processing the data by the user. [ABSTRACT FROM AUTHOR]

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