EcoTrackify is an interactive Carbon Footprint Tracker built with Streamlit. This app helps users estimate their annual CO2 emissions based on their transportation, electricity usage, waste generation, and diet habits.
- User-Friendly Input: Easily enter daily commute distance, electricity consumption, waste generation, and meal intake.
- Real-time Carbon Footprint Calculation: Calculates CO2 emissions based on country-specific emission factors.
- Gamification: Earn rewards, badges, and levels based on your eco-friendly actions.
- Actionable Insights: Get personalized suggestions & challenges to reduce your carbon footprint.
git clone https://github.com/your-username/ecotrackify.git
cd ecotrackifypython -m venv env
# On Windows:
.\env\Scripts\activate
# On macOS/Linux:
source env/bin/activatepip install -r requirements.txtstreamlit run ecotrackify.py- Python 3.6+
- Libraries:
streamlit,matplotlib,pillow
- Integrate API for Real-time Emission Data.
- User Authentication & Data Persistence.
- Advanced Carbon Reduction Recommendations.
- Social Sharing to Encourage Sustainability Challenges.
This project is licensed under the MIT License.
Pull requests are welcome! If you'd like to contribute, please fork the repository and create a new branch for your changes.
Let's build a greener future together! 🌍💚 Feel free to reach out for any suggestions or improvements!