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Glucare

Glucare

Glucare is a health technology app designed to help users monitor their well-being via a smartphone. Initiated in 2022 as a capstone project during the IT training program by Kemenristekdikti in collaboration with Google, GoTo, and Traveloka, Glucare was recognized among the top 15 nominees and received funding support from Google. The app includes three main features — Gluassist, GluControl, and GluCheck — aimed at making health checks, particularly early diabetes detection, simple and accessible. Glucare will soon be available on Google Playstore and Apple Appstore, providing users with a seamless digital health experience.

Team: 7
Category: personal
Role: Backend Engineering

GluCare — Accessible Health Monitoring

GluCare Banner

📋 Overview

GluCare is a health-tech solution designed to simplify health monitoring, specifically for early diabetes detection. Developed in 2022 as a Top 15 Capstone Project in the Kemenristekdikti IT training program (Bangkit Academy) in collaboration with Google, GoTo, and Traveloka. The project received seed funding from Google to further its development.

✨ Key Features

FeatureDescription
GluCheckAI-powered early detection (e.g., Cataract/Diabetes risk) via camera scan.
GluControlDashboard to monitor daily health metrics and activity.
GluAssistantIntegrated chatbot to provide instant health-related information.

📸 Application Interface

1. Dashboard & User Engagement

The dashboard provides a personalized greeting and quick access to the three core features. It also integrates curated health articles to keep users informed about diabetes management.

Dashboard Page

2. GluCheck: AI Early Detection

The core innovation where users can perform a quick scan. In this example, the system indicates a 20% Cataract indication, prompting the user to take further action or re-scan.

Scan & Result

3. GluAssistant: AI Chatbot

A seamless chat experience designed to answer user queries regarding their health data or general diabetes information.

GluAssistant

🛠 Tech Stack (Production Ready)

  • Mobile: Kotlin/Java (Android) or Flutter/React Native (if applicable).
  • Machine Learning: TensorFlow Lite for on-device image classification.
  • Backend: Node.js / Go (deployed on Google Cloud Platform).
  • Database: Cloud Firestore / PostgreSQL.

🚀 Achievements

  • Top 15 National Nominee out of thousands of teams.
  • Incubation Funding recipient from Google.
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