FactDrop
An AI-powered fact-checking engine that turns a claim into a sourced verdict in seconds.

PythonFastAPIPostgreSQLNext.jsDocker
FactDrop grew out of the work at Rumor Scanner: human fact-checkers are accurate but slow, and the internet ships misinformation faster than any team can keep up. FactDrop is the first-pass triage — it gathers evidence, weighs sources, and hands reviewers a head start instead of a blank page.
What it does
- Claim ingestion — paste a claim, a URL, or a social post and FactDrop extracts the verifiable assertions inside it.
- Evidence retrieval — it searches a curated index of trusted sources and ranks passages by relevance and credibility.
- Explained verdicts — every verdict ships with the citations behind it, so a human can audit the reasoning rather than trust a black box.
How it's built
A FastAPI service orchestrates retrieval and the model calls; Postgres stores claims, sources, and the audit trail. The reviewer-facing dashboard is a Next.js app, and the whole thing ships as containers so it runs the same locally and in production.
It doesn't replace fact-checkers — it makes each one faster.