Update README.md

README.md

@@ -1,14 +1,36 @@
 ---
-title: AI Gap Analyzer
-emoji: 🐨
-colorFrom: indigo
-colorTo: pink
+title: AI Medicare Advantage Analyzer
+emoji: 🧠
+colorFrom: blue
+colorTo: yellow
 sdk: gradio
-sdk_version: 5.25.0
+python_version: 3.10
 app_file: app.py
-pinned: false
+pinned: true
 license: mit
-short_description: Analyzes Medicare Advantage Data For Care Gaps and SDOH
+cover_image: mylogo.JPG
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# AI Medicare Advantage Analyzer 🧠📊
+
+**Built by PDS – Healthcare Analytics Powered by AI**
+
+This Hugging Face Space analyzes Medicare Advantage patient data using CMS/HEDIS rules,
+identifies care gaps, estimates financial recovery, and generates personalized summaries
+using an embedded local LLM.
+
+## 🚀 Features
+- HEDIS & STAR care gap detection (e.g. Breast Cancer, A1c, BP)
+- SDOH-aware financial forecasting with HCC logic
+- LLM-generated summaries with prompt engineering
+- Cohort insights dashboard: risk, gap frequency, revenue
+- ZIP export of docx reports
+
+## 📂 How to Use
+1. Upload a CSV with synthetic or de-identified patient records.
+2. Select report tone & optional custom summary prompt.
+3. View reports, download ZIP, and explore population-level visuals.
+
+## 🧠 Powered By
+- Python · Gradio · Pandas · Matplotlib · Seaborn
+- `llama-cpp-python` with DeepCogito LLM (8B GGUF)