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We're creating a robust internal query ticketing system for a corporate environment. This system will enable employees to submit legal queries via an application, and administrators will direct these queries to the appropriate person within the relevant team for resolution.

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Tech Stack

Client: Bootstrap Studio, EJs

Server: Node, Express, MongoDB

Workflow

Workflow

Approach

1. User Access Levels

Our problem solution revolves around establishing three distinct access levels among our users:

  • Admin: These are the key decision-makers, such as corporate executives, ministerial boards overseeing query management processes, and hospital management personnel responsible for delegating queries.

  • Query Seeker: This user category encompasses employees in corporate settings, ordinary citizens, or patients within healthcare systems. They initiate queries seeking resolution or clarification.

  • Query Solver: This group consists of legal teams, management personnel in corporate settings, specific committees within governmental systems, or medical professionals like doctors and nurses. They are tasked with resolving queries effectively and efficiently.

2. User-Centric Frontend Development

Our foremost priority is to craft a user-friendly frontend experience. Leveraging Bootstrap templates, we aim to deliver intuitive interfaces that prioritize ease of use and adaptability to various devices and screen sizes.

3. Robust Backend Architecture

Powering our application is a robust backend built predominantly with Node.js, Express, and MongoDB. This combination enables us to create scalable and responsive backend systems that can efficiently handle diverse user interactions and data processing tasks.

4. Logical Framework Development

To establish a solid foundation for our site, we are meticulously crafting the logical framework within an index.js file. This file serves as the backbone, handling all connection management and environment setup intricacies, ensuring seamless operation and robust performance.

5. Secure and Collaborative Database Management

Central to our data management strategy is the utilization of MongoDB Atlas Database, a cloud-based platform. By harnessing MongoDB Atlas, we ensure not only the smooth collaboration among team members but also the security and integrity of our workflow, safeguarding sensitive data and facilitating efficient data access and management.

Through this meticulously planned approach, we are poised to deliver a high-quality solution that not only meets but exceeds the expectations of our stakeholders, setting a benchmark for excellence in both functionality and user experience.