Developed a full-stack web application designed to simplify the planning, management, and monitoring of drone survey operations across multiple sites. The platform provides a centralized interface for managing drone fleets, configuring survey missions, tracking mission progress, and analyzing operational performance through interactive dashboards and reports.

The application features an interactive, map-based mission planning system that allows users to define survey areas by placing waypoints on a map. Users can select different flight patterns, including Crosshatch, Perimeter, Grid, and Waypoint, and configure parameters such as flight altitude, overlap percentage, and speed. The system also calculates estimated survey coverage and mission duration to help users plan operations more efficiently.

The fleet management module allows users to maintain a complete inventory of drones, monitor their availability and status, and view details such as battery levels, location, and flight hours. Users can add new drones, update existing records, remove drones, and filter the fleet according to operational status, including available, in-mission, maintenance, and offline.

The real-time mission monitoring module provides a live map interface displaying drone positions, flight trails, and planned routes. It includes mission controls for starting, pausing, resuming, aborting, and completing missions. The monitoring dashboard also displays telemetry information such as battery level, speed, altitude, signal strength, heading, and estimated time of arrival. For demonstration purposes, the application simulates drone movement and telemetry updates based on mission progress.

The platform also includes a survey reporting and analytics dashboard that presents operational insights through KPI cards, interactive charts, mission status breakdowns, flight pattern statistics, fleet health indicators, and site-level activity reports. A dedicated site management module enables users to create, update, and delete survey sites while maintaining their names, locations, GPS coordinates, and area details.

The frontend was developed using React and Vite, with reusable components, structured navigation, and responsive dashboard layouts. The backend was built using Node.js and Express.js, providing REST APIs for drone management, mission operations, site administration, and analytics. The application uses an in-memory JavaScript data store rather than a persistent database, making it suitable for demonstrating the system's functionality without additional database setup.

This project demonstrates practical full-stack development, REST API integration, interactive map visualisation, dashboard development, state management, and the implementation of mission workflows with validation and error handling.