Enhancing Home Loan Package Selection with Proprietary Curation

Home Loan Package Selection with Proprietary Curation
Industry  Financial Services and Mortgage, Banking and Financial services, FinTech 
Features   Home Loan Package Curation, Admin Panel, Financial Decision Support,  Microservices Architecture, Authentication and User Management, Data Storage, Data Confidentiality, Accessibility,  

Market Competitiveness 

Technologies   SvelteJs, Django, NestJs, Laravel, Postgres  
Infrastructure   AWS S3 for static hosting of web app and admin, Cloudfront for distribution, ECS for running multiple tasks, ECR for docker image, AWS ALB for load balancer and routing, AWS RDS Postgres for database 

Introduction 

The current initiative relies around a unique technology aimed to simplify the process of choosing home loan packages and interest rates given by banks. This revolutionary technology streamlines the decision-making process for consumers, allowing them to easily locate the best financial solutions.  

A microservices architecture is used in the backend to bring this concept to life, including a mix of technologies such as Django, Laravel, and NestJs. Authentication is handled by Keycloak and Strapi, while the frontend is driven by SvelteJs and the database is Postgres.  

Client Profile 

The client has a user-centric platform that curates and regularly updates a comprehensive list of home loan packages and interest rates from top banks. This ensures access to the latest and most competitive options in the market. The app, designed for users of all backgrounds, guides you in selecting the ideal deal that aligns with your unique financial situation and long-term goals. IQRate prioritizes data security, treating your financial information with the utmost confidentiality. With IQRate, you gain the knowledge and tools to make informed and confident financial decisions, making homeownership dreams a reality. 

Challenges   

The project presented several challenges, including: 

  • Complex Data Aggregation: Curating and presenting a comprehensive list of home loan packages and interest rates from multiple banks in a user-friendly format required advanced data aggregation techniques. 
  • Integration of Diverse Technologies: Coordinating and ensuring seamless communication among the diverse technologies employed in the backend posed a challenge, as it required expertise in Django, Laravel, and NestJs. 
  • User Authentication and Security: Implementing secure and user-friendly sign-in authentication via Keycloak and Strapi, while safeguarding user data, was a critical concern. 
  • Performance and Data Storage: Ensuring optimal performance and reliable data storage, especially when dealing with financial data, was of paramount importance. 

Technical Solution 

To address these challenges, the following technical solutions were implemented: 

  • Microservices Architecture: The use of microservices in the backend allowed for the independent development and deployment of various components, enhancing flexibility and scalability. 
  • Data Curation Algorithm: A proprietary data curation algorithm was developed to collect, organize, and present home loan package information in an easily digestible manner for users. 
  • Technology Stack: Django, Laravel, and NestJs were employed as backend technologies to facilitate seamless data retrieval and processing. Keycloak and Strapi were integrated for secure authentication and user management. 
  • Frontend Excellence: The frontend was built with SvelteJs, offering a responsive and user-friendly interface for users to browse and select home loan packages effortlessly. 
  • Database Efficiency: Postgres served as the database of choice, ensuring efficient data storage and retrieval, vital for maintaining data integrity. 
  • Data Storage and Delivery: Data was stored in S3 and delivered via Cloud Front, providing reliable access to the curated information. 

Technical stack 

  • Technologies: SvelteJs, Django, NestJs, Laravel, Postgres
  • Infrastructure: AWS S3 for static hosting of web app and admin, Cloudfront for distribution, ECS for running multiple tasks, ECR for docker image, AWS ALB for load balancer and routing, AWS RDS Postgres for database 

Results and Business Benefits 

The implementation of this solution yielded several notable results and business benefits: 

  • Streamlined User Experience: Users can now easily navigate and compare home loan packages and interest rates, streamlining the decision-making process. 
  • Data Security: Robust authentication via Keycloak and Strapi ensures user data remains secure, bolstering user trust and data protection compliance. 
  • Efficient Data Management: The use of Postgres for data storage guarantees efficient data management, supporting the system’s performance and reliability. 
  • Scalability: The microservices architecture enhances scalability, allowing for the future integration of additional features and financial institutions. 
  • User Engagement: The user-friendly frontend powered by SvelteJs has led to increased user engagement and satisfaction. 

Conclusion

This case study exemplifies how the integration of innovative technologies and a microservices architecture can revolutionize the process of selecting home loan packages. The proprietary curation system has not only simplified the user experience but also ensured data security, efficient data management, and scalability for future growth.  

The success of this project underscores the potential of advanced technology solutions in the financial services sector, providing users with the tools they need to make informed financial decisions. 

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