Forem: Gowtham M

EcoTrack AI — Carbon Footprint Tracker & Dashboard

Gowtham M — Fri, 17 Apr 2026 18:18:55 +0000

This is a submission for Weekend Challenge: Earth Day Edition

EcoTrack AI — Track, Visualize & Reduce Your Carbon Footprint
This is my individual work, built entirely from scratch for the #weekendchallenge.

🔗 Links
🚀 Live Demo: ecotrack-ai-317275340485.asia-south1.run.app
💻 GitHub Repo: github.com/Gowtham280103/greenprint
💡 What is EcoTrack AI?
EcoTrack AI is a full-stack web application that helps users track, visualize, and reduce their daily carbon footprint using AI-powered suggestions, interactive charts, and gamification.

You enter your daily habits — travel, electricity, food, and shopping — and the app instantly calculates your CO₂ emissions, gives you an Eco Score, and generates personalized tips to help you live greener.

✨ Features
🎯 Daily Tracker — Log travel, electricity, food & shopping habits
📊 Eco Score (0–100) — Animated SVG ring showing your green rating
🟢 Impact Level — Low / Medium / High with color coding
🌳 CO₂ Equivalents — See your footprint as trees, flights, phone charges
🤖 AI Suggestions — Powered by Google Gemini API with smart local fallback
📉 7-Day Trend Chart — Line chart with global average reference line
🥧 Category Breakdown — Doughnut & pie charts via Chart.js
🏆 Badges & Gamification — Earn badges like "Green Warrior", "EV Rider", "Cyclist"
🎮 Daily Challenges — 9 eco challenges with XP rewards
🌙 Dark Mode — Full dark/light theme toggle with persistence
📱 Fully Responsive — Works on mobile, tablet, and desktop
📋 History Log — All past entries with Eco Score column
🛠️ Tech Stack
Layer Technology
Backend Python, Flask, Flask-CORS
Frontend HTML5, CSS3, Vanilla JavaScript
Charts Chart.js 4
AI Google Gemini API
Storage JSON file-based (no database needed)
Deployment Google Cloud Run + Docker
Font Inter (Google Fonts)
🏗️ Architecture
greenprint/
├── Dockerfile
├── .dockerignore
└── ecotrack/
├── backend/
│ ├── app.py # Flask API + static file serving
│ ├── calculator.py # Emission logic + AI suggestions + Eco Score
│ ├── storage.py # JSON persistence
│ └── requirements.txt
└── frontend/
├── index.html # 4-page SPA (Tracker, Dashboard, History, Challenges)
├── style.css # 700-line modern dashboard CSS with dark mode
└── app.js # 600-line frontend logic + Gemini integration
🚀 How to Run Locally

Clone

git clone https://github.com/Gowtham280103/greenprint.git
cd greenprint

Install dependencies

pip install -r ecotrack/backend/requirements.txt

Start server

python ecotrack/backend/app.py
Then open http://localhost:5000

☁️ Deployment
Deployed on Google Cloud Run using Docker. The container auto-scales to zero when idle (free tier friendly).

gcloud run deploy ecotrack-ai \
--source . \
--region asia-south1 \
--allow-unauthenticated
🧠 How the AI Works
The app uses rule-based logic with real emission factors from EPA & IPCC to calculate CO₂, then calls the Google Gemini API to generate personalized, context-aware suggestions like:

"Your 20 km petrol car trip contributes 3.84 kg CO₂. Switching to public transport 2 days/week saves ~1.1 kg CO₂/day — that's 286 kg/year!"

If no Gemini API key is set, a smart local fallback generates equally personalized insights.

📸 Screenshots

Built and Deployed a Smart Stadium Dashboard using Google Cloud Run

Gowtham M — Wed, 15 Apr 2026 10:08:16 +0000

I recently built and deployed a Smart Stadium Dashboard that simulates real-time crowd management inside a large venue.

This project focuses on improving the physical event experience by monitoring crowd density, waiting times, and operational alerts in real-time.

🔹 Key Features
• Live stadium map with crowd density visualization
• Waiting time tracking for gates and facilities
• Priority alert system for critical situations
• Staff allocation monitoring
• AI-based crowd suggestions for better management

🔹 Tech Stack
• Frontend: HTML, CSS, JavaScript (Vite)
• Backend: Node.js (Express)
• Deployment: Google Cloud Run

🔹 What I Learned
• How to deploy full-stack applications on cloud platforms
• Handling frontend and backend integration in production
• Understanding real-world scalability concepts
• Debugging cloud deployment issues

🔹 Challenges Faced
Initially faced multiple deployment errors while configuring Cloud Run, especially with build and server setup. After debugging logs and fixing the server configuration, I successfully deployed the application.

🌐 Live Demo: https://smart-stadium-dashboard-317275340485.us-central1.run.app

This project gave me a strong understanding of cloud deployment and real-time system design.

I built an app that forces you to procrastinate (and it actually works)

Gowtham M — Wed, 08 Apr 2026 18:41:21 +0000

This is a submission for the DEV April Fools Challenge

A chaotic funny scene of a person trying to work on a laptop while popups, alerts, and distractions explode everywhere, colorful, meme style, modern UI elements

What I Built

I built a web app that finally solves productivity…

By completely destroying it.

Introducing Procrastination-as-a-Service (PaaS) — an app designed to make sure you never finish your work.

Instead of helping you focus, it actively distracts you with:

Fake urgent alerts 🚨
Random useless tasks
Sudden redirects to YouTube
Annoying popups that question your life choices

It doesn’t improve your productivity.
It makes sure you avoid it entirely.

Demo

Try to be productive here (good luck 😈):

👉 https://remarkable-starship-ffc0ec.netlify.app/

Code

Check out the chaos behind the scenes:

👉 https://github.com/Gowtham280103/CHAOS_APP.git

How I Built It

HTML, CSS, JavaScript
Used setInterval() to trigger random distractions
Created fake notifications and alerts
Random actions like opening tabs, changing UI, and interrupting users
Deployed using Netlify

The logic is simple:
User tries to work → App interrupts → Productivity destroyed

Prize Category

Community Favorite

Because this is something everyone relates to…

Even if they didn’t ask for it 😄

Final Thoughts

We spend so much time building tools to improve productivity.

So I built one that does the opposite.

And honestly… it works too well.

Thanks for reading 🚀