Logistics & Fleet Tracking Dashboard

### Project Overview For a logistics company with a fleet of 500+ trucks, we created a **Logistics & Fleet Tracking Dashboard**. The system utilizes IoT sensors to monitor vehicle health, location, and driver performance in real-time. ### Problem Statement The client faced rising fuel costs, unauthorized vehicle usage, and maintenance delays. They lacked visibility into their fleet's operations once trucks left the depot. ### Solution Provided We integrated GPS and OBD-II telemetry data into a central command dashboard. The system alerts fleet managers of route deviations, speeding, or engine faults. It also optimizes delivery routes to save fuel and time. ### Technologies Used * **Frontend:** React.js, Mapbox GL * **Backend:** Node.js, MQTT (IoT Protocol) * **Database:** InfluxDB (Time Series Data), MongoDB * **IoT:** AWS IoT Core * **Mobile:** Flutter (Driver App) ### Key Features * **Live Map Tracking:** Real-time location of all assets on an interactive map. * **Predictive Maintenance:** AI predicts engine failures before they happen based on sensor data. * **Route Optimization:** Algorithms calculate the most fuel-efficient routes. * **Driver Scorecards:** Rates drivers on safety and efficiency metrics. * **Geofencing:** Alerts when vehicles enter or exit designated zones. ### Business Impact * **Reduced fuel consumption by 18%** through better route planning. * **Decreased maintenance costs by 20%** via predictive alerts. * **Improved on-time delivery rate to 98%**. ### Team Size 11 Members ### Role Breakdown * **IoT Specialist:** Configured hardware sensors and data ingestion pipelines. * **Backend Developer:** Built the high-throughput data processing engine. * **Frontend Developer:** Implemented complex map visualizations using Mapbox. * **Data Analyst:** Created algorithms for route optimization and predictive maintenance. * **Mobile Developer:** Built the driver application for navigation and proof of delivery.