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README.md

@@ -1,44 +1,44 @@
----
-title: MVM2 Math Verification System
-emoji: 🧮
-colorFrom: red
-colorTo: gray
-sdk: streamlit
-sdk_version: 1.42.0
-app_file: services/dashboard/app.py
-pinned: false
-license: mit
-short_description: Multi-Model Math Verification System with Explainable AI
----
-
-# MVM² — Multi-Model Math Verification System
-
-A multi-agent AI system that verifies mathematical reasoning step-by-step using symbolic computation (SymPy) and LLM-based logic checking.
-
-![Status](https://img.shields.io/badge/status-production--ready-green)
-![Version](https://img.shields.io/badge/version-2.0.0-blue)
-![Python](https://img.shields.io/badge/python-3.10+-blue)
-![Docker](https://img.shields.io/badge/docker-enabled-blue)
-
-## Features
-- 🔬 **Parallel Verification**: Runs SymPy, LLM, and Ensemble models simultaneously
-- 📊 **Consensus Fusion**: Weighted scoring across multiple agents
-- 🧠 **Explainable AI**: Step-by-step error classification with natural language explanations
-- 📄 **Report Export**: Download verification reports as PDF, Word, or Markdown (powered by VibeDoc)
-
-## How to Use
-1. Enter your math problem and each step on a new line in the text box
-2. Select which AI verifiers to enable in the sidebar
-3. Click **Run Verification Pipeline**
-4. Review the verdict, confidence score, and detailed breakdown
-5. Download the full analysis report in your preferred format
-
-## System Architecture
-```
-Input → SymPy Symbolic Verifier ─┐
-      → LLM Logical Checker   ──→ Consensus Fusion → Verdict + Report
-      → Ensemble Neural Check ─┘
-```
-
-## Based on Research Paper
-*Mathematical Reasoning Enhancement in Large Language Models* — VNRVJIET, Hyderabad
+---
+title: MVM2 Math Verification System
+emoji: 🧮
+colorFrom: red
+colorTo: gray
+sdk: streamlit
+sdk_version: 1.42.0
+app_file: services/dashboard/app.py
+pinned: false
+license: mit
+short_description: Multi-Model Math Verification System with Explainable AI
+---
+
+# MVM² — Multi-Model Math Verification System
+
+A multi-agent AI system that verifies mathematical reasoning step-by-step using symbolic computation (SymPy) and LLM-based logic checking.
+
+![Status](https://img.shields.io/badge/status-production--ready-green)
+![Version](https://img.shields.io/badge/version-2.0.0-blue)
+![Python](https://img.shields.io/badge/python-3.10+-blue)
+![Docker](https://img.shields.io/badge/docker-enabled-blue)
+
+## Features
+- 🔬 **Parallel Verification**: Runs SymPy, LLM, and Ensemble models simultaneously
+- 📊 **Consensus Fusion**: Weighted scoring across multiple agents
+- 🧠 **Explainable AI**: Step-by-step error classification with natural language explanations
+- 📄 **Report Export**: Download verification reports as PDF, Word, or Markdown (powered by VibeDoc)
+
+## How to Use
+1. Enter your math problem and each step on a new line in the text box
+2. Select which AI verifiers to enable in the sidebar
+3. Click **Run Verification Pipeline**
+4. Review the verdict, confidence score, and detailed breakdown
+5. Download the full analysis report in your preferred format
+
+## System Architecture
+```
+Input → SymPy Symbolic Verifier ─┐
+      → LLM Logical Checker   ──→ Consensus Fusion → Verdict + Report
+      → Ensemble Neural Check ─┘
+```
+
+## Based on Research Paper
+*Mathematical Reasoning Enhancement in Large Language Models* — VNRVJIET, Hyderabad