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- ---
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- title: MVM2 Math Verification System
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- emoji: 🧮
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- colorFrom: red
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- colorTo: gray
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- sdk: gradio
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- sdk_version: 6.9.0
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- app_file: app.py
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- pinned: false
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- license: mit
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- short_description: MVM² High-Fidelity Glassmorphic Math Verification Dashboard
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- ---
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-
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- # MVM² — Multi-Model Math Verification System
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-
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- A multi-agent AI system that verifies mathematical reasoning step-by-step using symbolic computation (SymPy) and LLM-based logic checking.
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-
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- ![Status](https://img.shields.io/badge/status-production--ready-green)
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- ![Version](https://img.shields.io/badge/version-2.0.0-blue)
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- ![Python](https://img.shields.io/badge/python-3.10+-blue)
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- ![Docker](https://img.shields.io/badge/docker-enabled-blue)
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-
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- ## Features
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- - 🔬 **Parallel Verification**: Runs SymPy, LLM, and Ensemble models simultaneously
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- - 📊 **Consensus Fusion**: Weighted scoring across multiple agents
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- - 🧠 **Explainable AI**: Step-by-step error classification with natural language explanations
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- - 📄 **Report Export**: Download verification reports as PDF, Word, or Markdown (powered by VibeDoc)
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-
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- ## How to Use
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- 1. Enter your math problem and each step on a new line in the text box
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- 2. Select which AI verifiers to enable in the sidebar
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- 3. Click **Run Verification Pipeline**
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- 4. Review the verdict, confidence score, and detailed breakdown
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- 5. Download the full analysis report in your preferred format
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-
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- ## System Architecture
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- ```
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- Input → SymPy Symbolic Verifier ─┐
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- → LLM Logical Checker ──→ Consensus Fusion → Verdict + Report
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- → Ensemble Neural Check ─┘
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- ```
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-
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- ## Based on Research Paper
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  *Mathematical Reasoning Enhancement in Large Language Models* — VNRVJIET, Hyderabad
 
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+ ---
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+ title: MVM2 Math Verification System
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+ emoji: 🧮
4
+ colorFrom: red
5
+ colorTo: gray
6
+ sdk: gradio
7
+ sdk_version: 6.9.0
8
+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ short_description: MVM² High-Fidelity Glassmorphic Math Verification Dashboard
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+ ---
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+
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+ # MVM² — Multi-Model Math Verification System
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+
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+ A multi-agent AI system that verifies mathematical reasoning step-by-step using symbolic computation (SymPy) and LLM-based logic checking.
17
+
18
+ ![Status](https://img.shields.io/badge/status-production--ready-green)
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+ ![Version](https://img.shields.io/badge/version-2.0.0-blue)
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+ ![Python](https://img.shields.io/badge/python-3.10+-blue)
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+ ![Docker](https://img.shields.io/badge/docker-enabled-blue)
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+
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+ ## Features
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+ - 🔬 **Parallel Verification**: Runs SymPy, LLM, and Ensemble models simultaneously
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+ - 📊 **Consensus Fusion**: Weighted scoring across multiple agents
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+ - 🧠 **Explainable AI**: Step-by-step error classification with natural language explanations
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+ - 📄 **Report Export**: Download verification reports as PDF, Word, or Markdown (powered by VibeDoc)
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+
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+ ## How to Use
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+ 1. Enter your math problem and each step on a new line in the text box
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+ 2. Select which AI verifiers to enable in the sidebar
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+ 3. Click **Run Verification Pipeline**
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+ 4. Review the verdict, confidence score, and detailed breakdown
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+ 5. Download the full analysis report in your preferred format
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+
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+ ## System Architecture
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+ ```
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+ Input → SymPy Symbolic Verifier ─┐
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+ → LLM Logical Checker ──→ Consensus Fusion → Verdict + Report
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+ → Ensemble Neural Check ─┘
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+ ```
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+
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+ ## Based on Research Paper
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  *Mathematical Reasoning Enhancement in Large Language Models* — VNRVJIET, Hyderabad