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A Python-based application that analyzes plastic packaging sustainability, evaluates environmental impact, and promotes eco-friendly alternatives through data-driven insights.

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PackAware

PackAware is a Python-based application designed to analyze the environmental impact of plastic packaging and encourage sustainable decision-making. The project evaluates different packaging materials, provides insights into their ecological footprint, and recommends environmentally friendly alternatives to reduce plastic waste.

Developed during Algo Verse 2025, organized by HackWithIndia in collaboration with IGDTUW, the project focuses on raising awareness about sustainable packaging through data-driven analysis.


Features

  • Analyze different types of plastic packaging
  • Evaluate environmental impact based on predefined metrics
  • Compare packaging materials
  • Recommend eco-friendly alternatives
  • User-friendly interface
  • Fast and efficient analysis
  • Modular and scalable architecture

Technologies Used

  • Python
  • Pandas
  • NumPy
  • Matplotlib (if used)
  • Tkinter (if GUI is included)
  • CSV Dataset

Update the technologies list according to your implementation.


Project Structure

PackAware/
│
├── data/
│   ├── packaging_dataset.csv
│
├── src/
│   ├── analysis.py
│   ├── recommendations.py
│   ├── utils.py
│   └── main.py
│
├── screenshots/
│
├── requirements.txt
└── README.md

How It Works

  1. User provides packaging information.
  2. The system analyzes the packaging material.
  3. Environmental impact metrics are calculated.
  4. Sustainable alternatives are identified.
  5. Results are displayed with recommendations.

Installation

Clone the repository

git clone https://github.com/Sanginiux/PackAware.git

Navigate to the project

cd PackAware

Install dependencies

pip install -r requirements.txt

Run the application

python main.py

Project Highlights

  • Encourages sustainable packaging practices
  • Promotes environmental awareness
  • Supports informed decision-making
  • Demonstrates practical data analysis using Python
  • Designed with scalability and maintainability in mind

Learning Outcomes

This project demonstrates:

  • Python Programming
  • Data Analysis
  • Sustainable Computing
  • Environmental Data Processing
  • Modular Software Development
  • Problem Solving
  • Team Collaboration during Hackathons

Future Enhancements

  • Machine Learning-based sustainability prediction
  • Barcode scanning for packaging identification
  • Carbon footprint estimation
  • Material recyclability score
  • Web-based dashboard
  • Mobile application support
  • AI-powered packaging recommendations

About the Project

PackAware was developed as part of Algo Verse 2025, a hackathon organized by HackWithIndia in collaboration with Indira Gandhi Delhi Technical University for Women (IGDTUW). The project addresses the growing concern of plastic pollution by helping users make environmentally responsible packaging choices.


Author

Sangini Garg


License

This project is intended for educational and learning purposes.

About

A Python-based application that analyzes plastic packaging sustainability, evaluates environmental impact, and promotes eco-friendly alternatives through data-driven insights.

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