ECOMIND AI – SMART CARBON FOOTPRINT AND ENERGY OPTIMIZATION PLATFORM

Author

Mithun M, Subramanian E, Gokul V, Harichanth S M, Harish R, Harshad S P, Janusri S

Abstract

 In the modern world, rising energy consumption and greenhouse gas emissions have made it essential for individuals to understand and reduce their environmental impact. Traditional carbon footprint calculators provide only basic numerical results, lack personalization, and rarely motivate users to change their daily habits.

This project presents EcoMind AI – Smart Carbon Footprint and Energy Optimization Platform, an intelligent web-based system designed to calculate carbon emissions, analyze energy consumption, and generate personalized recommendations for sustainable living. The system integrates features such as user registration, activity data collection, carbon calculation, AI-based recommendations, an interactive eco dashboard with reward points, levels and badges, an AI-powered waste detection scanner, a climate awareness section, and an administrative monitoring panel.

The system processes key parameters including electricity usage, transportation, water consumption, LPG or fuel usage, and waste generation. It utilizes predefined emission factors, Python-based data analysis with Pandas and NumPy, and rule-based logic to estimate the carbon footprint in kg CO₂, identify high-emission activities, and recommend practical improvements. The generated results are presented through an Eco Score, progress indicators, daily challenges, and a nature-based visual interface that reflects the user’s environmental performance.

The proposed system improves environmental awareness, encourages sustainable habits through gamification, reduces manual calculation effort, and provides an engaging and practical solution for personal carbon footprint monitoring and energy optimization.

Keywords

EcoMind AI, Smart Carbon Footprint, Energy Optimization, Carbon Footprint Platform, Smart Optimization, Greenhouse Gas Tracking

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References

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