DEV Weekend Challenge: Earth Day

What I Built
Most climate tools diagnose. EcoTwin prescribes.

EcoTwin is a personalized climate action coach that turns a few everyday inputs, like commute habits, food choices, home energy use, and travel frequency, into a practical action plan with estimated annual CO2e savings.

Instead of stopping at a “guilt score,” EcoTwin estimates a baseline footprint, shows a before/after projection, and recommends the highest-impact changes first.

Users get:

• A baseline annual footprint estimate
• A personalized set of top climate actions
• Projected annual CO2e savings
• A concise AI coaching summary powered by Gemini (with fallback if a key is unavailable)

Demo
Live demo:https://ecotwin-qsgv.onrender.com/

Quick walkthrough:

1. Open the app
2. Enter a city and lifestyle inputs
3. Click Generate My Climate Plan
4. Review before/after footprint and recommended actions
5. Read the AI coach summary

Code
Source code is in the project folder and includes:
-Backend:Flask API for scoring, recommendations, and AI summary
-Frontend:HTML/CSS/JS dashboard with interactive results
-Data:Curated action library with estimated CO2e savings

Core implementation highlights:

• Transparent footprint estimation model
• Rule-based personalization by user profile
• Gemini API integration for natural-language coaching
• Stable local fallback summary for reliability

How I Built It
I built EcoTwin as a focused full-stack Flask app to keep it easy to run, easy to demo, and easy to judge.

Architecture flow:

1. Frontend collects a lightweight user profile
2. Backend computes annual baseline emissions
3. Action library is filtered by relevance and sorted by impact
4. App calculates projected reductions and renders before/after metrics
5. Gemini generates a short personalized coaching summary

Design decisions:

• Kept input friction low so users can get value in seconds
• Prioritized practical behavior-change suggestions over abstract climate theory
• Added clear before/after visuals to make impact tangible during a live demo

Prize Categories
This submission is for:

• Best Use of Google Gemini
• Best Use of GitHub Copilot

Team
Solo submission.