Project Overview
Objective & Project Scope
Roles & Responsibilities
Key Features
Project Challenges
Project Approaches
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The goal was to build a system to automate the process of submitting claims on the Family Health Plan Insurance TPA Limited (FHPL) portal.
Project Overview
The goal was to build a system to automate the process of submitting claims on the Family Health Plan Insurance TPA Limited (FHPL) portal. As a Python developer, the task was to create a tool that simplifies and speeds up the claims submission process, reducing manual work and errors.
Website Overview
Home Page Overview
Mobile Overview
Objective & Project Scope
The objective of this project was to build a reliable and user-centric healthcare platform that simplifies access to insurance services, improves information clarity, and strengthens trust among policyholders and partners.
UI/UX Design
Designed a clean and professional interface focused on trust, accessibility, and ease of navigation.
Website Development
Developed a responsive and scalable website optimized for healthcare and insurance users.
Content & Information Architecture
Structured complex healthcare services, policies, and processes into clear sections.
Performance Optimization
Optimized layouts and assets to ensure fast load times and smooth navigation.
Roles & Responsibilities
- Defined UI/UX strategy aligned with healthcare and insurance standards
- Designed responsive layouts for multiple user groups
- Developed frontend components with performance and security in mind
- Structured content to simplify healthcare processes
- Ensured cross-device compatibility and visual consistency
Key Features
Trust-Focused Design
Professional layouts and visual hierarchy that reinforce credibility and reliability.
Clear Service Information
Well-structured sections explaining claims, hospitals, and policy services.
Responsive User Experience
Optimized performance across desktop, tablet, and mobile devices.
Scalable Platform Structure
Flexible architecture supporting future services and digital expansion.
Project Challenges
The solution addressed inefficiencies in manual claim processing, reduced human errors, and introduced a scalable, automation-ready system.
Time-Consuming Claim Submission
Manual processes for submitting claims on the FHPL portal were slow and inefficient.
Repetitive and Error-Prone Tasks
Tasks like filling forms and uploading data increased the risk of human errors.
Need for Reliable Automation
Required a system that could automate claims processing efficiently and accurately.
Scalable and Feature-Ready Solution
Needed an automation solution that could integrate new features and be deployment-ready.
How We Made It Happen
A visual breakdown of the design, development, and performance
that shaped the final product.
Project Approaches
Our team built effective solution for FHPL
Automation with Python and Selenium: Used Python and Selenium to replicate human interactions for filling and submitting forms on the FHPL portal.
Feature Enhancements Based on Feedback: Added new functionalities to the tool iteratively according to user requirements.
Rigorous Testing for Accuracy: Conducted thorough testing to ensure reliable and error-free automation.
Cloud Deployment on AWS: Deployed the solution on AWS for secure storage, scalability, and smooth operation.
AWS Services for Efficient Management: Leveraged AWS CodeCommit, SQS, ECR, and S3 to manage code, queue tasks, store images, and handle data effectively.
Solution Aviox Built for FHPL
This approach focused on keeping things simple, reliable, and ready to grow with FHPL needs.
Technologies
Tech Stack
Python
Front End
Selenium
Back End
CodeCommit, S3, SQS, ECR
AWS Services
Impact & Results
The new system empowered FHPL with real-time visibility, faster issue detection, and improved network reliability. It reduced manual monitoring efforts, optimized performance, and provided actionable insights through clear data visualizations.
Streamlined Claims Submission
Automated the process, significantly reducing time spent on manual form filling and data uploads.
Reduced Errors
Minimized human errors by reliably handling repetitive tasks.
Enhanced Functionality
Added features improved usability and addressed user requirements effectively.
Secure and Scalable Deployment
AWS deployment ensured the solution was secure, scalable, and easy to maintain.
Improved Operational Efficiency
Resulted in smoother and faster FHPL claim submission workflows.