The objective of this project is to develop a software system that can automate the process of evaluating companies for eco-friendliness. This system will utilize web scraping, AI/ML platforms, and database tools to find, retrieve, store, and present the necessary data, and will be designed using the most appropriate software architecture patterns. The final deliverable for this project will be a detailed software architecture model outlining the key components, software, and patterns needed to support the automation of this evaluation process.

1. Conduct research on the appropriate tools and technologies for finding, retrieving, storing, and presenting the data required for evaluating companies for eco-friendliness. This may include web scraping tools, AI/ML platforms, and database tools.
2. Identify available open source software that could be used in the project, and assess which software architecture patterns would be most suitable for this application.
3. Develop and document a detailed software architecture model that outlines the key components, software, and patterns needed to support the automation of the product vetting process. This may include identifying the specific tools and technologies that will be used, as well as how they will be integrated and used in the overall system.

Bonus: Build a PoC with 3-5 of the criteria to validate the architecture

We will provide weekly meetings in addition to any technical data required.