Designed and implemented a powerful Admin Dashboard using React, Material UI, Zustand, and E-charts, delivering comprehensive tools for efficient data management and project oversight.
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Responsive UI: Leveraged React and Material UI to create a responsive and visually appealing admin dashboard, ensuring a seamless user experience. 🌐
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Calendar with Scheduler: Incorporated a feature-rich calendar with scheduler option, providing administrators with a powerful tool for managing appointments and deadlines. 📅
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Dynamic Charts: Implemented dynamic charts with downloadable options, allowing users to analyze and download visual representations of critical data trends. 📈💾
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Real-time Kanban Board: Introduced a real-time Kanban board for effective project management, facilitating task tracking and collaboration among team members. 📌
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Customer Data Tables: Integrated customer data tables with advanced data filtering options, enabling administrators to quickly access and analyze relevant information. 📋🔍
This project delivers a powerful Admin Dashboard, combining a responsive UI, a feature-rich calendar, dynamic charts, a real-time Kanban board, and customer data tables with advanced filtering options for efficient data management and project oversight.
- React: A declarative, efficient, and flexible JavaScript library for building user interfaces.
- Material UI: A React UI framework that implements Google's Material Design principles.
- Zustand: A small, fast, and scalable state management for React.
- E-charts: A powerful charting and visualization library for the browser.
- Yarn: A fast, reliable, and secure dependency management tool.
- Clone the repository.
- Install dependencies using
yarn install. - Run the application with
yarn dev.
- Access the Quantum Console in your web browser.
- Utilize the feature-rich calendar for appointment and deadline management.
- Analyze critical data trends with dynamic charts and downloadable options.
- Manage projects effectively with the real-time Kanban board.
- Access and analyze customer data using advanced filtering options.
Feel free to contribute to the project by opening issues or submitting pull requests. 🤝
This project is licensed under the MIT License. 📄