The main goal for the project is to create a data engineering pipeline for parsing data from the main application into the ML models of Puddl Software Ltd. This will involve the following steps for the student:

- Understanding the data obtained from the primary app

- Building a part of the data engineering pipeline to connect the dataset to the ML pipeline

- Assisting in connecting the data to the ML models

By the end of the project, students should complete the following tasks:

- Analysis of the data obtained from the primary app

- Development of a part of the data engineering pipeline to connect the dataset to the ML pipeline

- Testing and integration of the data engineering pipeline with the ML models

Final deliverables should include:

- Source code for the developed data engineering pipeline

- Documentation explaining the design and implementation process

Students will receive mentorship and complete guidance from the team leads. Students will also benefit from peer coding sessions and rapid code reviews.