Engineering Reports

This project was based on computer engineering essays related to the 2030 agenda and the sustainable goals. In the past, I proposed developing a software application that helps individuals and organizations track their progress towards achieving the sustainable development goals (SDGs) outlined in the 2030 agenda.

The application utilized data analytics and machine learning algorithms to monitor key performance indicators (KPIs) related to the SDGs, such as carbon emissions reduction, access to clean water and sanitation, and gender equality. Users could input their own data or connect with other databases to track their progress over time and receive personalized recommendations for how to improve their performance.

In addition to tracking progress, the application included a social networking component that allowed users to connect with others who were working towards similar SDGs and share best practices and success stories. This helped to create a sense of community and collaboration around achieving the 2030 agenda and the sustainable goals.

To ensure the project aligned with the principles of sustainability, I prioritized using energy-efficient hardware and open-source software tools. I also focused on minimizing the application's environmental impact by prioritizing serverless architecture, optimized cloud infrastructure, and responsible data practices.

Overall, this project leveraged computer engineering expertise to help individuals and organizations make progress towards the SDGs outlined in the 2030 agenda, promoting a sustainable future for all.