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EcoStyle Agent

An AI-powered sustainability verification platform integrating application, backend and AI/ML workflows.

StackFastAPI · React Native · Hugging Face · Google Cloud Vision · Firebase
EcoStyle Agent sustainability verification dashboard and mobile experienceEcoStyle Agent / supplied media
01 / Problem

Start with the reason to build.

Sustainability claims are difficult to verify when the experience, backend and AI signals are disconnected from one another.

02 / Context

What shaped the work.

EcoStyle Agent was built as an applied AI and sustainability project spanning a mobile-facing application, backend services and verification workflows.

03 / Solution

A system, not a feature demo.

The system connects a React Native application to FastAPI services and AI/computer-vision capabilities, with Firebase supporting the application layer and cloud services supporting verification.

04 / My contribution

Be precise about ownership.

I worked across most of the system and owned the end-to-end integration, connecting the application, backend and AI/ML workflows into one coherent experience.

05 / Implementation

The parts that made it real.

  • React Native application surface
  • FastAPI backend services
  • Hugging Face and Google Cloud Vision integrations
  • Firebase-backed application workflow

Architecture is represented here as a focused system sketch: the important interfaces and decisions are more useful than a decorative diagram.

06 / Challenges

Where engineering judgment mattered.

  • Coordinating interfaces between the mobile application, backend and AI services
  • Working with multiple external AI capabilities in one product flow
  • Keeping an applied sustainability use case at the center of technical decisions
07 / Tradeoffs

Every system carries a choice.

The architecture uses focused managed services and specialized AI capabilities so the team could connect a complete experience across application, backend and verification without building every infrastructure primitive from scratch.

08 / Outcome + learning

An integrated AI-powered sustainability verification platform spanning application, backend and AI/ML workflows.

  • End-to-end integration is a product capability in its own right.
  • External AI services need clear boundaries and graceful workflow design.
  • Technical choices are more useful when they reinforce the user problem.