This is a submission for the GitHub Finish-Up-A-Thon Challenge
What I Built
FairLens AI is a premium, high-end SaaS platform designed for AI-powered bias auditing. I built this tool to help data scientists and researchers easily identify, quantify, and mitigate hidden biases within their datasets before those datasets are used to train machine learning models.
My vision as a developer has always been to create meaningful impact in society through technology. Monitoring and detection systems are crucial for accountability in tech, and I realized that while many people talk about AI fairness, there are very few accessible, beautifully designed tools to actually measure it. FairLens AI bridges that gap. By simply uploading a CSV dataset, users receive instant insights into fairness metrics across protected attributes, visualized through an interactive, glassmorphism-styled dashboard. It calculates complex metrics like Demographic Parity Ratio and Disparate Impact, assigns an overall fairness score, and provides actionable mitigation recommendations.
Demo
