CarbonLens Update — Building an AI Sustainability Assistant
CarbonLens started as a simple idea: make sustainability measurable, understandable, and actionable using AI. Over the past few weeks, it’s grown into something much more real.
What’s New
AI-powered analysis engine CarbonLens now uses a TensorFlow-based model to analyze inputs and generate sustainability insights.
Backend infrastructure live Flask backend is up and running, integrated with Firebase (Firestore + Storage) for scalable data handling.
Image processing pipeline Added support for image inputs using Pillow—laying the groundwork for visual sustainability analysis.
Stability improvements Resolved dependency conflicts (TensorFlow, NumPy, Firestore, gRPC) to ensure smooth local and production builds.
Under the Hood
CarbonLens combines:
Python + Flask backend
Firebase Admin SDK
TensorFlow for AI inference
Modular architecture to support future features like emissions estimation, material recognition, and reporting
What’s Coming Next
Frontend integration (web & mobile)
Sustainability score dashboards
Real-time feedback and recommendations
App store preview builds and screenshots
This project is being built in the open—every fix, feature, and lesson learned. If you’re interested in AI, climate tech, or sustainable software, follow along and share your thoughts
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