# Showcase: 🛡️ Smart Credit Risk App

**URL:** <https://discuss.streamlit.io/t/showcase-smart-credit-risk-app/121319>\
**Category:** Using Streamlit\
**Tags:** pandas, plotly, docker, llms, file-upload, streamlit-cloud, build-with-streamlit, discussion\
**Created:** [April 20, 2026, 8:26am UTC](https://discuss.streamlit.io/t/showcase-smart-credit-risk-app/121319 "2026-04-20T08:26:06Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Anmol7](https://sea2.discourse-cdn.com/streamlit/user_avatar/discuss.streamlit.io/anmol7/32/73701_2.png) [@Anmol7](https://discuss.streamlit.io/u/Anmol7)\
**Post date:** [April 20, 2026, 8:26am UTC](https://discuss.streamlit.io/t/showcase-smart-credit-risk-app/121319/1 "2026-04-20T08:26:06Z")

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Hi everyone! 👋

I’m excited to share a project I’ve been working on: **Smart Credit Risk XAI**.

It’s a production-grade framework designed to transform “black-box” loan default predictions into transparent, human-readable insights.

### 🚀 Live App:

> **[Finexcore XAI](https://smart-credit-risk-ai.streamlit.app)**
>
> An enterprise-grade, explainable AI (XAI) dashboard for deep credit risk assessment. It features ...

### 📂 GitHub Repo:

> **[GitHub - AnmolMogalayi/Smart-Credit-Risk-XAI: A production-grade Explainable AI (XAI) framework...](https://github.com/AnmolMogalayi/Smart-Credit-Risk-XAI)**
>
> A production-grade Explainable AI (XAI) framework for Credit Risk Assessment. Uses LightGBM and SHAP to transform "black-box" loan default predictions into transparent, human-readable insights. High-performance FastAPI implementation designed for scalable financial risk modeling and real-time interpretability.

### 🛠 Key Features:

- **LightGBM Backend:** High-performance gradient boosting for accurate risk scoring.
- **XAI Integration:** Leverages **SHAP** (SHapley Additive exPlanations) to provide real-time Force Plots and Waterfall plots for every prediction.
- **Premium UI:** Custom CSS-styled dashboard with Glassmorphism effects and dynamic Plotly gauges.
- **2026 Ready:** Optimized for Python 3.13 and NumPy 2.1 stability.

I built this to show how finance and AI can work together with full transparency. I’d love to hear your thoughts on the UI or the XAI implementation!

⭐ **If you find the project useful, feel free to drop a star on GitHub!**

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<div class="post-metadata">

**Author:** ![system](https://global.discourse-cdn.com/streamlit/original/3X/c/f/cf4c2ee0d938358f82448c5fe4b9c3c91d7ce19c.svg) [@system](https://discuss.streamlit.io/u/system)\
**Post date:** [October 17, 2026, 8:26am UTC](https://discuss.streamlit.io/t/showcase-smart-credit-risk-app/121319/2 "2026-10-17T08:26:32Z")

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