Making Federal Contracting Data Accessible Through AI

Federal contracting data is public, but not very accessible. The government publishes all its contracts on SAM.gov, with hundreds of agencies and billions of dollars spent through said contracts. The problem with it is accessing all the data, as it is a chore to go through. Manually having to search and filter through the website is too time-consuming, and it requires a solution.

Interactive platform turning complex government contract data into simple queriesThe solution is the Federal Contract AI Analyzer.

The analyzer connects directly to SAM.gov’s live API and lets you query federal contract data using simple English. Instead of having to sift through tons of data, you can simply ask for what you want specifically. Some use case examples include:

• “Show me all HHS contracts ending in 2026.”

• “Small business contracts up for renewal at NIH.”

• “IT contracts at the CDC.”

• “Open opportunities at CMS.”

The application understands what the user asks, pulls the relevant real-time data, and presents it cleanly for the user’s own use.

The application is built in three layers:

Data Layer - A Python client that connects to two SAM.gov APIs: the Contract Awards API and the Get Opportunities API. This means that all queries run with the live data to be accessed.

AI Layer - An AI Model (currently Llama 3.2) reads the English text input and determines what a given user is looking for from the data, and pulls it from the database.

Interface Layer - A chatbot with the two layers under it for support, where a user inputs text to ask for their desired data, which will be displayed for them

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