Profile

Rachel A Putra Ginting

InstaHelp Application

InstaHelp is a mobile application that accelerates emergency medical response using AI-driven urgency validation, automated voice calls, and real-time tracking. I developed the backend system with Flask (Python) and integrated it with TensorFlow and Google Cloud Platform.

InstaHelp Application

Project Duration

September 2024 - November 2024

Role

Backend Developer

Overview

InstaHelp is a mobile application designed to accelerate emergency medical response through the integration of AI, automated voice calls, urgency level validation, and real-time tracking features.

Challenges

The main challenge was to develop an AI-based system that could accurately assess the urgency level of medical incidents in real-time.

Solution

Built using Flask API (Python) for the backend and integrated with TensorFlow for AI-based medical urgency analysis. The application was hosted and managed using Google Cloud Platform services, while the mobile frontend was developed using Kotlin.

Key Features

  • Automated voice calling system to emergency contacts
  • AI-based urgency level validation using TensorFlow
  • Real-time location tracking for responders
  • Seamless integration with emergency medical services