EcoTrack – Full-Stack Sustainability Tracker & Cloud Migration.

01_Problem_Analysis

"Most sustainability tools are either simple static calculators or lack the performance needed for real-time tracking. Household utility data (electricity, transport, waste) requires complex processing and persistent storage. The challenge was to build a system that was not only accurate but also highly performant under load. Furthermore, managing the initial infrastructure on AWS (Load Balancers, Security Groups) without automation led to high maintenance costs and "vanishing" configurations when the free tier expired."

02_Architectural_Response

I architected a decoupled system to ensure scalability and speed: 1. Frontend: Built with Next.js for a modern, responsive user experience. 2. Backend: A dedicated Express.js server utilizing Mongoose for data modeling and Zod for strict schema validation, ensuring 100% data integrity. 3. Performance Layer: Integrated Redis as a caching layer to store frequent calculation results, drastically reducing database load. 4. DevOps Pipeline: Containerized the entire stack with Docker. I used GitHub Actions to automate builds and deployments. 5. Infrastructure: Initially hosted on AWS ECS with ECR, Route 53, and ALBs. Later, migrated to Vercel for cost-optimization while maintaining the Dockerized backend workflow.

03_System_Implementation

Engineering a Decoupled Stack

EcoTrack is more than just a calculator; it’s an exercise in modern web architecture. By separating the Next.js UI from the Express backend, I ensured that both could scale independently. The inclusion of Redis ensures that the "heavy" carbon footprint math doesn't have to be re-run for every page refresh, making the app feel instantaneous.

DevOps & Delivery

I treated this project as a production-grade product. Every update went through a GitHub Actions pipeline that built a fresh Docker image and pushed it to Amazon ECR. Using Route 53, I pointed ecotrack.thissidemayur.me to my AWS setup, providing a professional-grade entry point for users.

The Future: AI & Terraform

Smart Assistant: I am currently architecting an Agentic AI feature that queries the MongoDB history to provide users with proactive "Eco-Advice" based on their specific emission trends.

Infrastructure as Code: To solve the "vanishing infrastructure" problem permanently, I am rewriting the entire AWS networking and deployment stack using Terraform.

🔗 Tech Stack & Tools:

Stack: Next.js, Express.js, MongoDB (Mongoose), Redis, Zod

DevOps: Docker, GitHub Actions, AWS (ECS, ECR, Route 53), Vercel

Roadmap: Terraform, Agentic AI

01_Problem_Analysis

02_Architectural_Response

03_System_Implementation

Technical_Growth