Carbon-Aware AI

    Make the Climate Impact of AI Visible, Measurable, and Actionable. A comprehensive decision-support system to estimate, track, and reduce the carbon footprint of AI operations including text generation, image creation, and video synthesis.

    Muhammad Zeeshan

    Technologies Used

    Python
    Data Analysis
    Sustainability Metrics
    Dashboarding

    Key Features

    1

    Carbon footprint tracking for AI models

    2

    Text, image, and video generation impact estimation

    3

    Actionable reduction recommendations

    Implementation

    Developed a robust tracking system that calculates the energy and carbon footprint of diverse AI workloads, enabling organizations to implement greener AI practices.

    Results & Impact

    Provided actionable insights that visibly track and help reduce the environmental impact of extensive model operations.