EcoTrace

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  Tracking Page

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  Details/About Page

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  History Page

1.0 Problem Statement

Climate change is one of the most critical global challenges of the 21st century. Daily human activities such as transportation, electricity consumption, food choices, and water usage contribute significantly to carbon emissions. While awareness regarding sustainability has increased, many individuals still lack accessible tools to monitor their personal environmental impact. Unlike financial budgeting or fitness tracking applications, carbon footprint tracking is still not widely integrated into everyday life. As a result, many people are unaware of how their habits contribute to overall emissions or how small lifestyle adjustments could reduce their environmental impact over time.

2.0 Solution Overview

Deliver a tool that is accessible through the web which stores carbon footprint history and allows users to track their emissions. Moreover, if a user goes over the suggested daily limit, they get suggestions on how to reduce their emissions.

The system calculates estimated carbon emissions based on user input and stores historical data locally for continuous tracking and analysis. In addition to tracking emissions, the platform also provides personalized sustainability suggestions whenever users exceed recommended emission levels. The system encourages users to make more environmentally conscious decisions in their daily lives.

3.0 Key Features

Daily tracking Users can record everyday activities and instantly calculate their estimated carbon emissions. The application supports multiple activity categories including:

• Transportation distance and type
• Food consumption type and quantity
• Household electricity usage This allows users to understand how their daily habits contribute to their carbon footprint.

Monthly overview The system stores historical emission data and presents it through:

• Monthly summaries
• Daily emission logs
• Total and average monthly emissions
• Interactive bar chart visualization These analytics help users identify trends, compare different days, and better understand long-term behavior patterns.

4.0 Suggestions

The application analyzes recorded emission data and generates recommendations based on user behavior. For example: High transportation emissions may trigger suggestions to use public transport or carpooling High electricity usage may encourage reducing air-conditioner usage or switching off unused appliances High food-related emissions may recommend reducing meat consumption This transforms the platform from a simple tracker into a decision-support tool for sustainable living.

5.0 Technologies Used

React JS - frontend LocalStorage - activity storage Recharts - chart visualization

6.0 Target Users

This platform is designed for: Environmentally conscious individuals Students and young adults Users interested in sustainable living Individuals who want to monitor and reduce their carbon footprint Users seeking simple tools to build eco-friendly habits

Built With

• react
• vercel