Private Project

LOCIRA — Real-Time GPS Tracking and Taxi Dispatch Platform

Real-Time GPS Tracking and Taxi Dispatch Platform

Real-Time Dispatch PlatformWeb Application, Android Application, Backend, Dispatcher Dashboard, Private Project
LOCIRA landing page interface

Overview

LOCIRA is a real-time dispatch platform for taxi dispatch workflows, GPS tracking and dispatcher visibility across web, Android and backend systems.

Problem

Taxi dispatch operations need coordinated passenger requests, driver state, ride lifecycle control and dispatcher visibility.

Implemented solution

The platform connects public passenger ride requests, driver Android workflows, backend APIs and dispatcher live map views.

Key features

Public passenger ride request flow
Driver Android cockpit
Shift start and stop
GPS tracking
Ride request display
Accept ride
Start ride
Complete ride
Dispatcher live map
Driver markers
SOS status
Ride state markers
Manual ride creation
Company and role isolation
Admin and subadmin workflows
CSV export

Target users / audience

Taxi dispatch operators
Drivers
Passengers
Fleet administrators

Business value

Centralized data and operations
Improved real-time coordination
Safer role and company separation
Clearer ride lifecycle tracking

My role

Product analysis and requirements definition.
Architecture planning and AI-agent tasking.
Implementation supervision across frontend, backend, database and platform-specific surfaces.
Debugging, test planning, acceptance review, deployment preparation and iterative improvement.

AI-native development workflow

  1. 01

    Requirements are converted into structured implementation tasks.

  2. 02

    Codex and AI tools are used for code generation, investigation and refactoring.

  3. 03

    Major tasks follow a READ → BACKUP → PATCH → VERIFY → TEST discipline.

  4. 04

    Human review controls architecture, acceptance, security decisions and release readiness.

  5. 05

    AI is used as an engineering accelerator, not as a substitute for validation.

Technical overview

Built with Kotlin Android, Node.js backend, REST API, MapLibre, OpenStreetMap, real-time sockets and a relational database.

Key engineering challenges

Maintaining ride state transitions, driver markers and dispatcher visibility across real-time surfaces.

Testing and verification

Node syntax PASS
Backend health PASS
Android Kotlin compilation PASS
Ride lifecycle API smoke test: Assigned → In Progress → Completed

Product positioning

The implementation includes the capabilities presented in this case study and is designed for continued product evolution.

Media gallery

Video demos

Administration demo video inferred from filename
Passenger taxi request demo inferred from filename
Landing page demo video inferred from filename

Available for

Employment, custom software, software products and technical partnerships

Available for employment opportunities, remote international roles, custom software development, early product development, internal business systems, Python and SQL reporting solutions, Android and desktop development, product licensing, technical partnerships and individuals with viable product ideas.