Link for Frontend Repo: https://github.com/SFHS-3013/Frontend/
Link for Backend Repo: https://github.com/SFHS-3013/Backend/

• Mohammad Hammad
• Meesam

This project is based on SFHS CODE HACK’s Subtheme #4 - Smart Cities Security and Resilient Urban Infrastructure.

Focusing more on the latter - Resilient Urban Infrastructure - with rapid development of "Smart Cities" these days, such as our own "SRINAGAR SMART CITY" in Kashmir, this unprecedented growth rate makes it challenging to easily monitor the exponentially growing number of smart infrastructure projects at a glance.

SmartCity EnergyDashT? is a web-based dashboard designed to provide real-time insights into the city's smart infrastructure. By aggregating data from various IoT devices and systems, the platform offers a centralized view of energy consumption, asset performance, and potential anomalies. Key features include:

• Real-time monitoring: Track energy usage, system status, and performance metrics in real-time.
• Anomaly detection: Identify unusual patterns or deviations from normal behavior to enable proactive maintenance and troubleshooting.
• AI-Enabled Suggestions: Uses state-of-the-art Artificial Intelligence to generate suggestions for improvement based on available data.

• City administrators and engineers
• Energy managers
• Infrastructure maintenance teams

• Frontend: HTML, CSS, JS
• Backend: NodeJS, Amazon Web Services, MongoDB, OpenAI GPT-4o-mini

SmartCity EnergyDash™️ empowers municipalities to monitor their smart infrastructure at a glance, and enables them to pinpoint anomalies and fix them faster. With real-time monitoring and anomaly detection, our platform helps optimize energy consumption, improve asset management, and enhance overall city resilience.

Our project tackles real-world problems that India stands to face in the future. Live monitoring and anomaly detection enables maintenance workers to identify and fix problems faster, thus improving urban infrastructure and making our cities more secure and reliable.

Multiple Device APIs can be integrated into this project, making it a one-stop solution for infrastructure maintainers.

The screenshot below shows AI-powered suggestions based on live data (displayed once you click the AI powered suggested improvements button)

ORGANIZATION: https://github.com/SFHS-3013
The above organization contains two repositories:

• Repository For Web UI: https://github.com/SFHS-3013/Frontend
  
• Repository For BackEnd: https://github.com/SFHS-3013/Backend
  
  

Both repositories given above contain the final project video.
Additionally, a link to the video is also given below for convenience.

Link to Video: https://youtu.be/_QPMTohEmNo