TL;DR:
CustomerAI is an open-source prototype designed to identify and reduce bias in ML systems—especially in sectors like finance, healthcare, HR, and retail. It's cloud-ready, model-agnostic, and aimed at real-world, regulatory-compliant AI deployment.
Why I Built This
Bias in AI isn't just a theoretical problem—it's a real threat when ML systems influence financial approvals, medical treatments, hiring decisions, or product visibility. Yet, tools for practical bias detection in these contexts are limited, fragmented, or difficult to integrate.
CustomerAI is my attempt to close that gap—an open-source, developer-friendly fairness toolkit built with speed, clarity, and real-world use in mind.
Key Features
Bias Detection + Mitigation: With metrics, checks, and correction strategies
Framework-agnostic: Use with TensorFlow, PyTorch, Databricks, SageMaker
Cloud-Deployable: Run it on AWS, GCP, Azure with minimal setup
Regulatory Awareness: Built around NIST AI RMF and EU AI Act principles
Built Fast: Developed with AI assistants and prompt engineering in weeks
Use Cases
Finance: Fairness in credit scoring and loan approval
Healthcare: Balanced treatment predictions for diverse populations
Retail: Equitable product recommendations and pricing models
HR Tech: Debiasing hiring and screening algorithms
Architecture Overview
Core Components:
Data Preprocessing & Bias Audits
Fairness Metrics (e.g., Demographic Parity, Equal Opportunity)
Mitigation Strategies (reweighting, post-processing)
Cloud Deployment (via Docker/K8s scripts)
Getting Started
git clone https://github.com/VIKAS9793/CustomerAI_Project.git
cd CustomerAI_Project
pip install -r requirements.txt
jupyter notebook
Check out the usage examples in examples/ for how to evaluate fairness in your own datasets.
Roadmap
[ ] Web-based UI for bias reports
[ ] More fairness metrics & mitigation algorithms
[ ] CI/CD for cloud deployment
[ ] Integrations with monitoring tools like MLflow
Call for Contributors
This is an early prototype, and I’m actively looking for:
Feedback from ML engineers and researchers
Contributors to improve functionality, metrics, and documentation
Ideas for turning this into a reusable SDK or web service
GitHub & Feedback
Repo:
https://github.com/VIKAS9793/CustomerAI_Project.git
Drop a star if you find it useful!
Open an issue if you spot bugs or have ideas.
Pull Requests are very welcome!
Let's Connect
I’m especially interested in connecting with folks working in AI fairness, ML governance, or compliance tech. Share your thoughts in the comments—or reach out on GitHub.
