Loneliness in Numbers | Economic Impact Calculator
The Loneliness in Numbers (Ensomhed i Tal) project is a web-based tool designed to calculate the economic impact of loneliness on society. Developed for a Webflow website, this plugin utilizes a .NET backend and is based on research conducted by experts from Copenhagen University and Copenhagen Economics. The tool allows users to generate dynamic reports based on specific criteria and input figures, providing valuable insights into the economic effects of loneliness.
Project Overview
The plugin serves as an interactive calculator that enables users to input various parameters related to loneliness and receive a detailed economic analysis. This project aims to raise awareness about the societal costs associated with loneliness and provide stakeholders with data-driven insights to inform policy and decision-making.
Technical Details
Backend Development
- Technology Stack: The backend is built using .NET, providing a robust and scalable solution for handling user requests and calculations.
- Containerization: Utilized Docker to create a consistent development and production environment, ensuring that the application runs smoothly across different systems.
- API Design: The backend exposes a RESTful API that allows the frontend to communicate seamlessly with the server. This API handles data input, processing, and output of the economic impact calculations.
- Data Processing: The backend implements algorithms based on research findings to accurately calculate the economic effects of loneliness, including various parameters such as demographics, social factors, and economic indicators.
Frontend Development
- Frameworks and Libraries: The frontend is built using React with Babel.js for modern JavaScript features, and styled with Material-UI (MUI) for a responsive and user-friendly interface.
- Webflow Integration: Designed to integrate smoothly with Webflow, providing a user-friendly interface for inputting data and viewing results.
- Dynamic Reporting: Users can generate reports based on their inputs, which are dynamically created and presented in an easy-to-understand format.
- Responsive Design: The frontend is built with a mobile-first approach, ensuring accessibility and usability across all devices.
DevOps and Deployment
- CI/CD Pipeline: Implemented a GitLab CI/CD pipeline for automated testing and deployment, ensuring that updates are seamlessly integrated and delivered.
- Cloud Storage: Utilized AWS S3 for storing static assets and reports, providing scalable and reliable storage solutions.
- Database Management: Integrated AWS RDS for managing relational databases, ensuring data persistence and reliability.
Key Features
- User Input: Users can enter specific criteria related to loneliness, such as age, gender, and social factors, to tailor the economic impact calculations.
- Dynamic Reports: The tool generates comprehensive reports that outline the economic implications of loneliness based on user inputs.
- Research-Based Algorithms: The calculations are grounded in empirical research, ensuring that the results are reliable and relevant.
Project Repositories
- Backend Repository: Explore the backend code and API implementation on GitHub.
- Frontend Repository: Check out the frontend code and Webflow integration on GitHub.
Screenshots
Here are some images from the plugin environment and the generated reports:
Plugin Environment
Generated Reports
This project not only highlights the technical capabilities of the development team but also addresses a significant social issue by providing tools for understanding and mitigating the economic impact of loneliness. You can visit the live site at ensomhedital.dk to see the plugin in action.