1. eSahai, a Hyderabad based startup, approached Tech Vedika to build a complete platform for medical taxi service similar to Uber for their ambulance grade medical taxi service, which was to be introduced in Hyderabad within 3 months of time.

How We Started

The customer approached us to solve the medical transportation problem, build a central ecosystem and a platform for ambulance booking service:

  1. Tech Vedika’s Solution and Architecture Consulting Team presented the complete solution with the technical architecture and the UI wireframe within 2 weeks of time.
  2. The customer approved the solution and finalized deliverables with Tech Vedika Delivery and Project Management Team.
  3. Development kickoff for MVP had to be delivered within 2 months of the timeline.
  4. After 2 months of the timeline, Tech Vedika & eSahai together tested pilot with 5 ambulances and improved some user experience based on the initial 2 weeks of POC feedback.
  5. After the 2nd week of the 4th month, the customer launched eSahai in Hyderabad with 200+ ambulances and with 500+ hospital partners.
  6. After 6 months, eSahai expanded its services to Vizag and other cities.

Main Features and Functionality

  • Check real-time ambulance availability in nearby
  • Check nearby hospital location with direction and emergency support contacts
  • Request for blood from the blood bank and registered blood donors database from the app
  • Book instant ambulance with a single click of a button
  • Patient’s family will be notified with an SMS or notification with real-time ambulance tracking
  • The driver can manage his duty online/offline and locate emergency location from the app

Technical Requirement

  • Real-time display ambulance location on the map
  • App user should get ambulance booking confirmation within 5-10 seconds
  • Search nearby ambulance and hospital

Technology

  • AWS EC2, AWS ELB, AWS RDS
  • Google Firebase, Google Cloud Messaging
  • Backend with Node.js
  • Frontend with AngularJS
  • Android Native, iOS Native

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