Authors: Rutuja Toggi, Akanksha Kawade, Shraddha Deshmukh, Ulka Nikalje, Vaishnavi Hippargi, Professor N.J.Shaikh
Abstract: Digital technologies such as cloud platforms, online video streaming, internet browsing, and IoT devices significantly contribute to global carbon emissions, yet traditional carbon calculators often ignore these digital footprint s. This project introduces an AI-driven Carbon Emission Monitoring Security System that tracks carbon output from digital activities while ensuring cybersecurity. The system leverages Flutter, Spring Boot, MySQL, Python ML, and a React.js dashboard to monitor activities, detect anomalies, score threats, and generate explainable AI reports. Security features include JWT authentication, MFA, refresh tokens, and RBAC. The AI models automatically retrain with new feedback, providing real-time alerts, analytics dashboards, and secure file scanning.
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