EcoTrack is a simple, intuitive, and smart carbon footprint calculator designed to help users understand and reduce their environmental impact. It tracks emissions from daily activities such as transportation, electricity consumption, food habits, and waste generation, and visualizes them on a clean, interactive dashboard.
🚀 Project Overview
Climate change is a global challenge, and most people are unaware of how their everyday choices contribute to carbon emissions. EcoTrack solves this by providing a user-friendly platform that calculates, visualizes, and helps reduce carbon footprints with personalized recommendations.
🌿 Features
Lifestyle Input Form Users enter details about travel, energy use, food consumption, waste generation, and more.
Accurate Carbon Calculation Uses verified emission factors and formulas to generate a personalized carbon score.
Dashboard Visualizations Clear charts showing category-wise emissions, trends, and total carbon footprint.
Personalized Suggestions Actionable eco-friendly tips to reduce emissions based on user habits.
Responsive UI & Modern Design Earth-themed green and nature-inspired interface with a curved glassmorphic navbar.
📂 Project Structure /EcoTrack │── index.html │── style.css │── script.js │── assets/ │ ├── images/ │ ├── icons/ │ └── videos/ └── README.md
⚙️ Tech Stack
Frontend: HTML, CSS, JavaScript
Design: Glassmorphism, blur effects, earth-tone theme
Charts: Chart.js (or any preferred library)
🧮 How It Works
User enters daily lifestyle data.
EcoTrack processes inputs using carbon emission formulas.
Dashboard displays total and category-wise emissions.
User receives actionable sustainability tips.
🎯 Goal of EcoTrack
To empower individuals to make informed environmental decisions by making their carbon impact visible, understandable, and reducible through small, consistent lifestyle changes.
🤝 Contributing
Feel free to fork the repository, create issues, or contribute new features. Suggestions for improving sustainability insights are always welcome.
📜 License
This project is open-source under the MIT License.