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Project Overview
Cleverciti is applying modern tech solutions to the frustrating issue of urban parking. They needed help with sensor integration, compatibility with different cities, data processing, and analytics.
Integrate sensors and adapt them to different city layouts, enabling efficient parking management as part of a fully automated parking system.
An experienced backend development company must make big data processing effective, accurate, and growth-oriented.
The system must foster flexibility in parking management solutions to adapt to different environments.
The interface must allow users from all backgrounds to easily find parking, enjoying their parking management app experience.
Using analytics to monitor and manage traffic flow and compliance with urban regulations broadens the possibilities for smart parking solutions.
Cleverciti was tackling unique challenges in high-tech sensor integration, big data processing, city compatibility, interface design, and traffic analytics. As both a frontend and backend development company, we worked to address those:
Deploying Sensors for Automated Parking Systems
We integrated advanced sensors specifically engineered to operate in different environments into the automated parking system. Our work included:
Building Data Processing Infrastructure
As a backend development company with extensive experience, we built a powerful data processing infrastructure as part of a comprehensive parking management solution. Our team worked on:
Building a Secure & Intuitive Parking App
We created a sleek easy-to-use integrated parking app that’s perfect for drivers of all backgrounds. The app includes a number of smart parking features, including:
A Breakdown of the Essential Features That Drove Measurable Results and Client Satisfaction
The whiteboard includes real-time drawing and annotation features, along with custom shape creation and manipulation. It supports rendering interactive educational content such as illustrations, stickers, and confetti poppers to promote positive reinforcement for students. Users benefit from undo and redo functionality, ensuring a seamless experience. Additionally, the whiteboard allows the rendering of PDFs, images, and other visual aids to enhance comprehension.
The platform enables video and audio calls using MediaSoup SFU, ensuring low-latency communication for effective collaboration. It supports live updates on the whiteboard and other features, allowing for instant feedback between students and tutors.
The system offers comprehensive tools for session management, allowing administrators and tutors to efficiently organize, schedule, and oversee learning sessions. It also includes robust features for user creation and monitoring, enabling the setup of student and tutor profiles.
A Comprehensive Overview of the Most Impactful Transformations, Strategic Improvements, and Meaningful Achievements We've Realized Together Through Our Collaborative Efforts and Shared Vision
Replaced a monolithic codebase with decoupled services, reducing system interdependencies and preventing cascading failures.
Replaced a monolithic codebase with decoupled services, reducing system interdependencies and preventing cascading failures.
Replaced a monolithic codebase with decoupled services, reducing system interdependencies and preventing cascading failures.
Replaced a monolithic codebase with decoupled services, reducing system interdependencies and preventing cascading failures.
Replaced a monolithic codebase with decoupled services, reducing system interdependencies and preventing cascading failures.
We developed a wallet that successfully supported over 500,000 active users, handled transactions in real-time across multiple blockchains, and maintained a 99.9% uptime.
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