We have a project in the ag-tech (agricultural technologies) space for assisting farmers gain more insights into price and market trends for their crops. We are particularly interested in providing insights for corn and soyabeans, on topics like corn spot prices, futures, acreage, production and stocks. 

Some of the key activities are : 
a. Identifying reliable public data sources that contain relevant information for corn and soyabean farmers. This can include a combination of structured and unstructured datasets
b. Setting up scraping / data ingestion and data cleaning pipelines. 
c. Coming up with various insights on the data
d. Using Gen AI to explain the insights in an easy to understand fashion

By the end of the project, we would want to come up with a certain number of insights, and have at least 80% be considered relevant by a pilot group of users.