FairLens is a platform for detecting and remediating bias in tabular datasets and model decisions. The repository includes detailed feature specifications, a minimal Python backend with FastAPI, and a Next.js frontend in its initial stage.
From the README
FairLens FairLens is an AI bias detection and remediation platform for auditing tabular datasets and model decisions. Users upload a CSV or Excel dataset, FairLens profiles the data, computes fairness metrics across protected attributes, generates a plain-English audit report, and can compare remediation strategies. Repository Status This repository is currently in scaffold/specification state. • features/ contains detailed feature specifications. • backend/ has a minimal Python project with FastAPI dependencies but the API is not implemented yet. • frontend/ is a freshly scaffolded Next.js app and still shows the starter page. • Plans/README.md contains a broader product plan, but it...
Skills
- TypeScript
- Python
- CSS
- JavaScript
