[Project Submission] EcoGuardian: Your AI-Powered Carbon Footprint Tracker & Sustainability Coach #68
Description
🌍 Problem Statement
Climate change is a pressing global issue, yet many individuals find it challenging to:
Quantify their personal impact: Accurately measure their daily carbon emissions from various activities (commute, diet, energy consumption, purchases).
Receive actionable, personalized advice: Generic tips are often insufficient; users need guidance tailored to their lifestyle, location, and specific habits.
Access reliable information: Navigating the vast amount of climate data, research, and local regulations can be overwhelming.
Stay motivated: Maintaining sustainable habits requires ongoing engagement and a sense of progress.
EcoGuardian aims to bridge these gaps by providing an accessible, intelligent, and engaging platform.
🛠️ Your Solution
This project is architected for scalability, efficiency, and ease of development using Azure services and modern JavaScript frameworks:
Cloud Platform: Microsoft Azure
Deployment: Azure Developer CLI (azd)
Backend: Azure Functions (serverless APIs)
Frontend: Azure Static Web Apps with React/Next.js
AI Services: Azure OpenAI (GPT models) and Azure AI Search for data indexing
AI Frameworks: LangChain.js and LlamaIndex.TS for AI agent and data querying
Data Visualization: D3.js or Chart.js for charts and progress tracking
Data Storage: Azure AI Search for knowledge base, Cosmos DB or Table Storage for user data
🚀 Repository & Demo (if any)
- GitHub repo: https://github.com/VictorNjeru49/JSAI-Build-a-thon
- Live demo https://gray-sand-091a3e40f.2.azurestaticapps.net/
- Study Jam: [(if you are part of one)]
🙌 Call for Upvotes
Why should this project win the People’s Choice Award? Pitch it to the community!