top of page

Fast API Analytics Service

Problem Statement
Traffic enforcement agencies face the challenge of processing and visualizing large datasets efficiently for actionable insights. The need for integrated analytics within the admin dashboard of an AI-driven electronic enforcement solution led to the development of a robust analytics platform. This platform provides custom analytics endpoints to deliver real-time insights for various sections of the admin application, enabling better decision-making and operational management.
Project Description

The FAST API Analytics Service is a comprehensive solution designed to retrieve, process, and visualize large datasets from MS SQL and MongoDB databases. Specifically built for eTraffika, an AI-driven traffic enforcement system, the platform generates analytics tailored for monitoring operations, tracking camera performance, and analyzing violation metrics.

Using FastAPI for high performance and FusionCharts for dynamic visualizations, the platform delivers endpoints that support paginated data retrieval, time series analysis, and drill-down capabilities by year, quarter, month, day, and hour. It includes flexible filtering and scalable performance to meet the growing demands of traffic enforcement and administration. The analytics seamlessly integrate with the admin dashboard, providing real-time insights across different operational areas.

Project Outcomes

  • Enhanced Admin Dashboard Integration: Delivered analytics endpoints that seamlessly integrate into the eTraffika admin application, providing tailored insights for operations, device monitoring, and enforcement activities.

  • Improved Operational Efficiency: Automated the process of fetching, processing, and visualizing data, reducing manual effort and response time.

  • Real-Time Decision Support: Enabled stakeholders to access real-time analytics through dynamic dashboards, enhancing decision-making for traffic enforcement and resource allocation.

  • Scalable Solution: Designed the platform to handle large datasets and adapt to increasing operational demands without compromising performance.

  • Enhanced Monitoring: Improved tracking and reporting for camera devices, including live status monitoring and downtime analytics.

  • Data-Driven Insights: Provided detailed analytics for enforcement metrics, including violation counts, camera usage, and compliance trends.

  • Flexible Reporting: Offered custom filtering and drill-down capabilities, empowering users to access granular data for specific operational needs.

Tech Stacks

  • Backend Framework: FastAPI

  • Databases: MS SQL, MongoDB

  • Visualization: FusionCharts

  • Programming Language: Python

Visualizations and Analytics
bottom of page