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EcoChat — AI Sustainability Advisor for Earth Day 🌿

This is a submission for Weekend Challenge: Earth Day Edition What I Built EcoChat is an AI-powered sustainability chatbot that gives practical, actionable…

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This is a submission for Weekend Challenge: Earth Day Edition






What I Built



EcoChat is an AI-powered sustainability chatbot that gives practical,

actionable eco-friendly advice tailored to students and residents of

Coimbatore, Tamil Nadu, India.



Most sustainability apps are built for Western audiences — tips like

"drive an electric car" don't apply here. EcoChat knows about local

Coimbatore markets, Tamil Nadu government schemes, and campus life at KPRIET.



🌍 Live Demo: https://ecochat-rho.vercel.app


💻 GitHub: https://github.com/sarveshm555/EcoChat









Demo



Try it live at https://ecochat-rho.vercel.app




  1. Get a free Gemini API key at aistudio.google.com

  2. Paste it in the bar at the top

  3. Ask "How do I reduce plastic at home?"

  4. Upload a photo of any trash item or product label 📷

  5. Click "I'll commit to this!" and watch the counter go up ✅









Code



GitHub: https://github.com/sarveshm555/EcoChat



Tech Stack:




  • React + Vite — frontend

  • Google Gemini 2.5 Flash — AI responses + image analysis

  • Vercel — deployment









How I Built It






Google Gemini 2.5 Flash — used in 3 ways



1. Text chat with hyper-local context



The secret sauce is the system prompt:




"You are EcoChat, a sustainability advisor for students in Coimbatore,

Tamil Nadu. When relevant, mention local initiatives, Tamil Nadu

government schemes, and campus-specific suggestions."




This makes every response feel genuinely useful rather than generic.



2. Multimodal image analysis



Users can upload a photo of trash or a product label. Gemini identifies

whether it's recyclable, how to dispose of it properly, and mentions

local Coimbatore recycling options.



3. Dynamic Earth Day tip generator



On every page load, a separate Gemini API call generates a fresh,

surprising eco fact relevant to India — so the app always feels alive.






Key Features




  • 💬 Multi-turn AI chat with Coimbatore-specific knowledge

  • 📷 Image recognition for trash and product labels

  • ✅ Commitment tracker — "I'll commit to this!" button with live counter

  • 💡 Gemini-generated Earth Day fact on every page load

  • 📱 Fully mobile responsive






Why hyper-local?



Generic sustainability advice ignores local context. By telling Gemini

about Coimbatore specifically, the app gives tips like:




  • "Many Coimbatore markets accept cloth bags"

  • "Collect AC condensate water for plants"

  • "Use city buses for regular commutes"



This makes EcoChat genuinely useful for our community.









Prize Categories



Best Use of Google Gemini



I used Gemini 2.5 Flash for three distinct features:




  • Multi-turn text chat with a custom hyper-local system prompt

  • Multimodal image analysis of trash and product labels

  • Dynamic Earth Day tip generation on page load









What I Learned




  • Gemini's multimodal API is surprisingly easy — image analysis took
    less than 20 lines of code

  • Hyper-local system prompts dramatically improve response quality

  • Small UX details like the commit button transform a passive chatbot
    into an active accountability tool

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
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