The main goal for the project is to create a machine learning algorithm that can predict product shortage and demand surges based on product data and internet data. The model needs to be able to learn from past and future data, improve over time, and connect to Google Ads API to predict surges in product demand in different states and provinces.

- Analyze the company's product data and internet data to identify patterns and trends.

- Develop a machine learning algorithm that can predict product shortage and demand surges.

- Train the model to learn from past and future data, and improve its predictions over time.

- Integrate the model with Google Ads API to predict surges in product demand in different states and provinces.

access to compute power to train models, access to company servers and data,

regular meeting with the management team for guidance