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Poorvi Shetty
Poorvi Shetty

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EcoLens Pro: How I Turned an Abandoned Climate Prototype into an AI-Powered Sustainability Platform

GitHub “Finish-Up-A-Thon” Challenge Submission

This is a submission for the GitHub Finish-Up-A-Thon Challenge

What I Built

EcoLens Pro – AI-Powered Climate Simulation Platform

EcoLens Pro is an AI-powered platform that helps users explore future climate scenarios through interactive simulations, predictive analytics, and sustainability visualizations.

The project began as an unfinished side project focused on climate data visualization. While the initial concept was promising, the application remained incomplete due to unfinished simulations, limited interactivity, and an unpolished user experience.

For the Finish-Up-A-Thon Challenge, I revisited the project and transformed it into a more complete platform by improving the architecture, completing simulation workflows, enhancing dashboards, and creating a more polished experience.

Key features include:

  • Interactive climate simulations
  • Sustainability impact visualizations
  • Predictive environmental analytics
  • AI-assisted insights
  • Responsive modern UI
  • Improved project structure and documentation

The goal of EcoLens Pro is to make climate data easier to understand and more engaging for students, researchers, and sustainability enthusiasts.


Demo

Live Demo

https://eco-lens-pro.vercel.app/

GitHub Repository

https://github.com/poorvishetty193/EcoLens-Pro

Architecture Overview

architecture

AI Workflow

workflow

Screenshot

Dashboard


The Comeback Story

I originally started EcoLens Pro as an experiment combining AI, climate data, and interactive visualization.

The idea was exciting, but the project eventually stalled.

The original version had:

  • Incomplete climate simulation logic
  • Basic dashboard prototypes
  • Limited user interaction
  • Inconsistent UI components
  • Minimal documentation
  • Experimental features without a clear structure

As the codebase grew, making changes became increasingly difficult, and the project was eventually abandoned.

The GitHub Finish-Up-A-Thon Challenge gave me the motivation to revisit the project and finally finish what I had started.

Instead of immediately adding new features, I focused on strengthening the foundation:

  • Refactored the codebase
  • Improved application architecture
  • Completed unfinished simulation modules
  • Enhanced dashboards and visualizations
  • Fixed bugs and edge cases
  • Added documentation
  • Improved responsiveness and usability

Much of the work involved cleaning up technical debt rather than building flashy features.

By the end of the challenge, EcoLens Pro had evolved from an abandoned prototype into a functional platform that demonstrates how AI can help users explore climate futures and sustainability decisions.


My Experience with GitHub Copilot

GitHub Copilot played a major role in helping me finish EcoLens Pro.

Rather than using Copilot only for code generation, I used it throughout the entire development process.

Understanding Old Code

Since the project had been inactive for a long time, Copilot helped me quickly understand parts of the codebase that I had not touched in months.

I used Copilot Chat to:

  • Review existing components
  • Understand data flows
  • Analyze API interactions
  • Identify refactoring opportunities

Refactoring and Cleanup

Copilot helped me:

  • Refactor repetitive code
  • Create reusable utility functions
  • Improve TypeScript types
  • Simplify component logic
  • Improve code consistency

Debugging

During development, I used Copilot to:

  • Investigate TypeScript errors
  • Debug API integration issues
  • Resolve state management problems
  • Identify edge cases

Documentation

Copilot also assisted with:

  • Writing README documentation
  • Generating code comments
  • Improving project organization

My Workflow

The workflow that worked best for me was:

Ask → Plan → Build → Test → Refine

Using Copilot as a development partner helped me maintain momentum and significantly reduced the time spent on repetitive tasks, allowing me to focus on completing the project.


Built With

  • React
  • TypeScript
  • Tailwind CSS
  • Node.js
  • Express.js
  • Python
  • AI / Machine Learning
  • GitHub Copilot
  • GitHub

Final Thoughts

The GitHub Finish-Up-A-Thon Challenge gave me the opportunity to revisit an unfinished idea and finally turn it into a project I am proud to share.

EcoLens Pro is no longer an abandoned prototype—it is now a functional platform that makes climate data more interactive, understandable, and accessible.

Most importantly, this challenge reminded me that unfinished projects do not have to stay unfinished.

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