Eco-Intelligence-dashboard-TechnataHack24

Built with Next.js, Eco Intelligence is an interactive dashboard displaying real-time router activity, energy savings, and heat management insights to optimize IT infrastructure efficiency.

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Eco Intelligence Dashboard

Technata Hacks 2024

The Eco Intelligence Dashboard is an interactive platform designed to optimize energy efficiency in IT infrastructure, focusing on router heat dissipation and energy consumption. This project combines machine learning, web development, and AI-driven insights to address inefficiencies in tech infrastructure.

Inspiration

In large IT hubs like Kanata North Technology Park, routers run continuously, consuming excessive energy and generating unused heat. Our team envisioned a smarter, energy-conscious system to dynamically manage routers, reduce energy waste, and repurpose heat for cooling systems.

What It Does

The Eco Intelligence Dashboard provides:

  • Real-time data visualization of router activity, energy savings, and heat management.
  • AI-driven predictions to determine when routers should be powered on or off based on traffic patterns.
  • A responsive interface featuring charts, sliders, and dynamic updates for seamless monitoring.
  • An energy-efficient solution to optimize IT infrastructure and reduce costs.

How We Built It

Frontend Development:

  • Built with Next.js to design a modern and responsive dashboard.
  • Integrated animations with GSAP for smooth and engaging user interactions.

Backend & API Integration:

  • Developed a RESTful API to connect the machine learning models to the frontend for real-time predictions.

Machine Learning Models:

  • Linear Regression: Predicted continuous traffic trends and bandwidth usage.
  • Random Forest Regressor: Determined optimal router activity based on non-linear traffic data.

Data Simulation:

  • Used publicly available datasets to simulate network traffic and train the machine learning models.

Challenges We Faced

  • Generating realistic simulation data for machine learning models.
  • Ensuring real-time synchronization between predictions and frontend updates.
  • Integrating heat management concepts with router activity automation.

Accomplishments

  • Developed a fully functional AI-powered dashboard with modern UX/UI.
  • Integrated predictive machine learning models to create real-time actionable insights.
  • Showcased the potential to reduce energy consumption and save costs for large IT hubs.
  • Won Third Prize at Technata Hacks 2024 for innovation and impact!

What We Learned

  • Harnessing machine learning to optimize real-world processes and workflows.
  • Building scalable and responsive web solutions integrated with AI-powered backends.
  • Overcoming challenges in energy efficiency and heat dissipation through technology.

What’s Next

  • Scaling the platform to integrate additional features like energy usage forecasting and advanced heat management systems.
  • Expanding router control automation to include environmental data (e.g., room temperature).
  • Exploring partnerships with IT hubs to implement the solution at a broader scale.
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