Revolutionary Medical Billing Transparency System using Explainable AI (XAI)
Enhance medical billing accuracy with our Explainable AI-powered system that detects billing errors and explains predictions using SHAP & LIME visualizations.
Technology Used
Python | Flask | Pandas | NumPy | scikit-learn | SHAP | LIME | Matplotlib | Seaborn
Project Files
Project Overview
The Medical Billing Transparency System is a cutting-edge AI solution designed to bring clarity and trust to medical billing processes. Using advanced Explainable AI (XAI) techniques like SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations), this system not only detects billing errors but also provides understandable explanations for each prediction, making AI decisions transparent and reliable.
Key Features
- Upload Medical Billing Data: Easily upload CSV files containing patient billing details.
- AI-Powered Error Detection: Automatically identify inconsistencies and errors in billing data.
- SHAP Explanations: Visualize global feature importance and see how each feature impacts predictions.
- LIME Explanations: Get case-specific explanations for individual predictions.
- Interactive Dashboard: User-friendly interface with dynamic data visualizations.
Applications
- Healthcare billing transparency and auditing
- Medical insurance claim verification
- Compliance with healthcare regulations
- AI transparency in healthcare AI applications
Why Choose This Project?
In today’s data-driven healthcare sector, transparency is critical. This project provides an excellent hands-on opportunity to learn how to integrate Explainable AI techniques into real-world applications. Whether you're a student, researcher, or professional, this project will give you practical insights into ethical AI deployment in healthcare.
Extra Add-Ons Available – Elevate Your Project
Add any of these professional upgrades to save time and impress your evaluators.
Project Setup
We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).
Source Code Explanation
1-hour live session to explain logic, flow, database design, and key features.
Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.
₹1499
Custom Documents (College-Tailored)
- Custom Project Report: ₹1,200
- Custom Research Paper: ₹800
- Custom PPT: ₹500
Fully customized to match your college format, guidelines, and submission standards.
Project Modification
Need feature changes, UI updates, or new features added?
Charges vary based on complexity.
We'll review your request and provide a clear quote before starting work.