Mission Automate helped the client move from a vision stage to the concrete implementation of the product. We took concepts for metrics and created the appropriate mathematical formulas and code implementation. As the size of the data collected grew, we optimized the backend to manage a larger amount of data. We used a variety of technologies related to content parsing and natural language processing, including Selenium, Scrapy, AWS SageMaker, EC2, and S3.