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FlyIQ Project Details

Home Portfolio FlyIQ

Information

  • Client:flyiq
  • Type:WordPress
  • Location:Florida
  • Frontend:WordPress
  • Backend:Asp .net using C#, MVC Core 8.0, Restful API
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Introduction flyiq (Development)

FlyIQ is a dual-platform web application designed to connect two key user groups in the private aviation sector. The JetSync module enables clients to submit flight requests by specifying details such as date, location, and number of passengers. On the other hand, the Operator module allows flight service providers to register, subscribe, and list their availability. The project also included the development of an Admin Panel for managing flight requests, operator approvals, and subscriptions, along with a Super Admin Module for overseeing system settings, analytics, and override functions. To enhance data processing, FlyIQ integrated external sources like NBAA and FlyInsight, with raw flight data cleaned and formatted using the OpenAI API, following data scraping through Selenium. The frontend of the platform was developed using WordPress, while the backend was powered by ASP.NET Core 8.0 (MVC) with RESTful APIs. The entire system was built for a Florida-based client.

Problem Statement

The project addressed several key challenges:
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No unified digital platform existed for streamlined communication between clients and private aircraft operators.

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Clients could not easily submit their flight requirements in a structured way.

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Operators had no clear interface to manage availability or respond to needs.

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External flight data from NBAA and FlyInsight was in inconsistent formats and often unstructured.

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Admins lacked tools to match flight needs with operator schedules in real time.

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Security, data validation, and role-based access were missing in earlier solutions.

Affected Areas

The problems identified affected several areas:
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Data Parsing & Formatting: Scraped data from NBAA (via Selenium) was raw and unreadable.

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Admin Workflow: Admins had no visibility into real-time operator availability or active needs.

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User Roles: Needed a system with tiered access (Operator, Admin, Super Admin).

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Security: Sensitive data (e.g., flight calendars) needed to be encrypted.

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Data Comparison: It was difficult to detect duplicate or conflicting flight schedules.

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UI/UX: Admin and operator interfaces had to be intuitive even for non-technical users.

Solution

To address the above issues, the following solutions were implemented:
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A responsive frontend in WordPress for marketing and user acquisition.

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A secure backend in ASP.NET Core 8.0 with RESTful APIs to power JetSync and Operator modules.

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Admin Panel with dashboards, approval systems, and real-time monitoring tools.

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Super Admin Panel with full system control, role management, and deep analytics.

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OpenAI API Integration:Used to process and clean raw flight need data scraped from NBAA via Selenium.Ensured proper formatting and readability of third-party data before display.

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Calendar & NEED Comparison Logic: Matched operator availability with incoming client needs. Highlighted conflicts, duplicates, and matches automatically in the admin view.

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Data Security: Encrypted FlyInsight calendar URLs and login flows. Applied strict validation on all user inputs.

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Multi-Level Access: Separate dashboards and capabilities for Operator, Admin, and Super Admin roles.

How We Implemented

The solution was implemented using the following approach:
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JetSync Module: User-friendly forms collected flight requirements. Data stored in backend via secure REST APIs.

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Operator Module: Registration and subscription logic. Calendar input for availability. Operator approval system in admin panel.

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Admin Panel: Visual dashboard with total requests, operator count, and statuses. Approval and login credential management for operators.

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Super Admin Module: Full access to all data and user logs. Role management and audit capabilities. Override tools for editing or deleting needs/operators.

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OpenAI Use Case: Example: "Raw scraped need data like Need flight from KMIA to KJFK, 3 pax cleaned into structured fields: Departure: KMIA, Arrival: KJFK, Passengers: 3". Improved search, filtering, and matching by transforming unstructured to structured data.

Outcome

We successfully launched a live platform featuring distinct modules for both clients and operators, enabling seamless interaction within the private aviation sector. A highly functional admin panel was developed to manage real-time flight submissions, user subscriptions, and calendar-based availability comparisons. By integrating the OpenAI API, the platform significantly improved the quality and structure of externally scraped data, effectively reducing administrative workload and minimizing errors. A robust Super Admin Panel was also delivered, providing complete control over system roles, data management, and third-party integrations. External data from NBAA and FlyInsight was seamlessly integrated, with regular syncing and secure storage. The system enabled fast, secure, and automated matching of client requests with operator availability, greatly reducing manual overhead and enhancing communication speed between private clients and flight service providers.

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