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FlavorCharter

> Role: Research Assistant | > Lab: Electronic Visualization Laboratory | > Year: 2025

> FlavorCharter introduces a data-driven research framework composed of a mobile platform for crowd-sourced sensory data collection and an interactive visualization environment for exploratory analysis. This integrated system bridges data acquisition and visual reasoning, enabling both large-scale collection and interpretability of flavor perception data. This symptoms in a more precise, standardized language.

System Overview

> Figure 1: System Overview

[ KEY CONTRIBUTIONS ]

  • Designed and delivered FlavorCharter as an integrated, data-driven framework that bridges crowd-sourced sensory data collection and interactive visual reasoning, supporting large-scale acquisition while keeping flavor perception data interpretable.
  • Developed the mobile data-collection platform to reliably capture structured taste-perception inputs at scale, with secure user flows and cloud persistence to enable consistent longitudinal and cross-user analysis.
  • Built the interactive visualization environment for exploratory analysis, enabling comparison and interpretation of multivariate flavor profiles to help document taste loss and support a more precise, standardized way for patients to describe symptoms.

[ TECH STACK ]

  • Mobile: React Native, Expo
  • Web / Visualization: React, D3.js
  • Backend / APIs: Node.js, Express, REST APIs
  • Data / Auth: Firebase (Firestore, Authentication)
  • Integrations / Hosting: Qualtrics, Render

[ LINKS ]