Llm Based Carbon Emission Monitoring And Ethical Reporting System

• Author(s):

  Maheshwari K | Lokeshwaran S | Ragavan S | JosuvaPM

• Keywords:

  Carbon Emission Monitoring, LLM-inspired Recommendation Engine, Ethical Reporting, Sustainability Analytics, Risk Classification, Flask Web Application, Green AI, ESG Compliance.

• Abstract:

  The LLM-Based Carbon Emission Monitoring And Ethical Reporting System Is A Web Application That Helps Organizations Track, Analyze, And Reduce Their Carbon Footprint By Transforming Raw Sales Data Into Actionable Environmental Insights Through An Intuitive Dashboard Interface. Businesses Can Upload CSV Or Excel Files Containing Product Information, And The System Automatically Calculates Carbon Footprints Using Category-specific Emission Factors (such As 8.2 Kg/unit For Electronics Or 1.9 Kg/unit For Dairy). Products Are Classified Into Three Risk Levels - Normal, Critical, Or High-Risk - Based On Total Emissions And Sales Volume, With High-risk Items Triggering Intelligent Recommendations For Eco-friendly Alternatives Like Replacing Plastic Cutlery With Bamboo Or Switching To Plant-based Dairy Options. The System Incorporates An Ethical Reporting Framework Ensuring Transparency, Fairness, And Accountability, While An Interactive Dashboard Visualizes Emissions Through Charts And Summary Cards, And A Government Compliance Report Identifies All High-risk Products With CSV Export Functionality. Built With A Python Flask Backend And Responsive Frontend, This Tool Empowers Organizations To Make Data-driven Sustainability Decisions And Meet Regulatory Requirements.

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Other Details

• Paper id:

  IJSARTV12I5105295

• Published in:

  Volume: 12 Issue: 5 May 2026

• Publication Date:

  2026-05-07

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