EcoLife.API

EcoLife.API is a backend solution designed to power a mobile application focused on educating users about ecology and sustainability, encouraging positive lifestyle changes for environmental impact.

The Challenge

Environmental awareness is growing, but many people struggle to understand how their daily choices impact the planet. The challenge was to create an engaging platform that not only educates users about ecological issues but also motivates them to make sustainable lifestyle changes through personalized recommendations and tracking.

The Solution

EcoLife.API provides the backend infrastructure for a mobile application that offers:

• Educational content about sustainability and ecological practices
• Personalized recommendations for lifestyle changes based on user habits
• Progress tracking for environmental impact goals
• Community features to share achievements and tips
• Gamification elements to encourage continued engagement

Technical Implementation

The API was built using modern technologies and best practices:

• ASP.NET Core 6 Web API for a robust, high-performance backend
• Clean Architecture principles for maintainable, testable code
• Entity Framework Core for data access with a code-first approach
• Repository and Unit of Work patterns for data management
• CQRS pattern with MediatR for separation of read and write operations
• FluentValidation for request validation
• AutoMapper for object mapping
• Swagger for API documentation
• JWT authentication for secure access
• xUnit for unit and integration testing

Results

The EcoLife.API provides a solid foundation for the mobile application, enabling users to learn about sustainability and track their progress toward more eco-friendly lifestyles. The API's design allows for easy expansion of features and content as the user base grows.

Key Achievements

• Implemented a clean, maintainable architecture following SOLID principles
• Created a comprehensive API that supports all mobile application features
• Designed an extensible content management system for ecological information
• Built a personalized recommendation engine based on user behavior
• Developed a secure authentication and authorization system