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App README

Carbon Trace Agent (企业碳管理智能助手)

English | 中文

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🌟 项目简介

Carbon Trace Agent 是一款面向企业的智能化碳排放管理与 ESG（环境、社会和治理）审计工具。旨在帮助企业低成本、高效率地完成碳盘查、合规性分析和减排策略制定。

该项目集成了 SiliconFlow (硅基流动) 的 Qwen-2.5-7B 大模型能力，能够像专业 ESG 顾问一样分析排放数据，并提供可执行的减排建议。

🚀 核心功能

  1. 1.全景仪表盘 (Dashboard):
  2. 2.可视化展示 Scope 1, 2, 3 排放分布（饼图）。
  3. 3.月度排放趋势分析（柱状图）。
  4. 4.核心指标实时监控（总碳排、主要排放源）。
  5. 5.智能审计报告 (AI Audit):
  6. 6.基于真实录入的数据，一键生成专业的 ESG 分析报告。
  7. 7.利用 LLM 识别高排放热点，并计算潜在减排幅度。
  8. 8.专家顾问 (Expert Chat):
  9. 9.内置 ESG 垂直领域知识库的对话助手。
  10. 10.解答关于 ISO 14064, GHG Protocol 等标准的合规问题。
  11. 11.数据资产化 (Data Vault):
  12. 12.本地化存储所有排放记录和历史审计报告（SQLite）。
  13. 13.支持移动端访问，随时随地录入数据。

🛠️ 技术栈

  • —后端: Python Flask, SQLite
  • —前端: Vue 3 (Composition API), Tailwind CSS (Mobile-First Design), ECharts 5
  • —AI 引擎: SiliconFlow API (Qwen/Qwen2.5-7B-Instruct)
  • —部署: Docker 容器化

快速开始

  1. 1.克隆项目:
bash
    git clone https://huggingface.co/spaces/your-username/carbon-trace-agent
    cd carbon-trace-agent
  1. 1.安装依赖:
bash
    pip install -r requirements.txt
  1. 1.运行应用:
bash
    python app.py

访问: http://localhost:7860

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🌟 Introduction

Carbon Trace Agent is an intelligent Carbon Management and ESG Audit SaaS tool designed for enterprises. It helps businesses conduct carbon accounting, compliance analysis, and emission reduction planning with low cost and high efficiency.

Powered by SiliconFlow (Qwen-2.5-7B), it acts as a professional ESG consultant, analyzing your data and providing actionable reduction strategies.

🚀 Key Features

  1. 1.Panoramic Dashboard:
  2. 2.Visual breakdown of Scope 1, 2, 3 emissions (Pie Chart).
  3. 3.Monthly emission trends (Bar Chart).
  4. 4.Real-time monitoring of key metrics (Total CO2e, Top Sources).
  5. 5.AI Audit Reports:
  6. 6.One-click generation of professional ESG analysis reports based on your data.
  7. 7.Uses LLM to identify emission hotspots and estimate reduction potential.
  8. 8.Expert Consultant:
  9. 9.Built-in chat assistant with domain knowledge in ESG.
  10. 10.Answers questions about ISO 14064, GHG Protocol, and compliance.
  11. 11.Data Vault:
  12. 12.Local storage for all emission records and historical reports (SQLite).
  13. 13.Mobile-optimized for data entry on the go.

🛠️ Tech Stack

  • —Backend: Python Flask, SQLite
  • —Frontend: Vue 3, Tailwind CSS, ECharts 5
  • —AI Engine: SiliconFlow API
  • —Deployment: Docker

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