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Folkcharm: AI-Powered Emission Measurement for Sustainability Impact

Introduction

Folkcharm is a Thai social enterprise dedicated to 100% hand-spun and hand-woven natural cotton products. By partnering with rural weavers in Loei Province and urban tailors in Bangkok, Folkcharm promotes chemical-free, rain-fed cotton and traditional craftsmanship.

Despite their low-impact artisanal model, Folkcharm faced significant hurdles in quantifying their environmental benefits. The decentralized nature of their supply chain led to a lack of structured emission frameworks and a difficulty in communicating verifiable sustainability claims to eco-conscious consumers. This project bridges that gap by establishing a standardized, Cradle-to-Gate carbon footprint calculation system aligned with international ISO standards.

Key Features

  • Customized Web-Based Calculator: A user-friendly React interface designed for non-technical staff to input activity data (mass, distance, electricity) and receive instant CO2e estimates.
  • Thai-Specific Emission Factors: Unlike global tools, this calculator uses verified factors from the Thailand Greenhouse Gas Management Organization (TGO) and T-VER standards.
  • Artisanal Farming Module: Specifically modeled to reflect Folkcharm’s unique practices, accounting for the zero-emission nature of manual harvesting and rain-fed irrigation.
  • Closed-Loop Recycling Integration: A specialized module to calculate the environmental benefits of recycling fabric offcuts into new yarn, supporting circular economy initiatives.
  • Transparent Reporting: Outputs are normalized per 1 kg of finished fabric, providing clear, defensible data for internal reporting and brand messaging.

Development and Innovation

The project moved beyond generic "global average" data to create a bottom-up calculation engine that accurately represents the low-carbon reality of hand-made textiles.

Methodological Excellence

The tool implements the Greenhouse Gas (GHG) Protocol across relevant scopes:

  • Scope 2: Indirect emissions from purchased electricity for sewing and finishing.
  • Scope 3: Upstream emissions from raw material logistics and purchased services.

The Calculation Framework

The system uses a modular formula-based approach to sum emissions across the lifecycle:

$$CF_{Total} = CF_{Farming} + CF_{Transportation} + CF_{Electricity} + CF_{Water} + CF_{ClosedLoop}$$

Technological Stack

To ensure a robust and maintainable tool, the development utilized:

  • React & Vite: For a high-performance, responsive frontend interface.
  • TypeScript: To ensure type-safe implementation of complex mathematical formulas, reducing logic errors in emission reporting.

Impact and Future Directions

Empowering Social Enterprise

By providing Folkcharm with a verifiable methodology, the project eliminates "greenwashing" risks and allows the brand to back its sustainability claims with hard data. The results show that by replacing industrial spinning with manual hand-spinning, Folkcharm avoids up to 60% of the carbon intensity typical of the global textile sector.

Future Roadmap

  • Live API Integration: Transitioning from hard-coded emission factors to a backend service that automatically fetches real-time national data from TGO and global LCA databases.
  • Expanded Supply Chain Mapping: Enhancing the "Digital Twin" of the supply chain to include more granular data on natural dyeing processes and community-specific water usage.
  • Consumer Education: Utilizing the calculator's outputs to create "Carbon Labels" for products, further educating the public on the impact of artisanal production.

Project Advisor(s)

Antoine Merlet
Assistant Professor

Research Team member(s)

Phyo Theingi
Jakrin Strickland
Undergraduate Student
Bawornpat Rattanapongkiat
Undergraduate Student
Shinn Thant Khin
Undergraduate Student