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Viewfinder was conceived as a solution to make art more accessible and engaging for a wide audience. The project, developed for Out In Tech, aimed to create a platform where users could discover art pieces based on their preferences, moods, or specific queries, leveraging the power of AI.
The process began with an extensive planning phase, defining core functionalities and user flow. Figma was used to create a clean, intuitive interface design appealing to both art enthusiasts and casual users.
Next.js was chosen for frontend development due to its performance benefits and SEO-friendly nature. Tailwind CSS was utilized for styling, allowing for rapid development of a responsive design.
We leveraged AWS's serverless architecture for scalability and cost-effectiveness. AWS Lambda functions were implemented to handle natural language processing and art recommendation algorithms. API Gateway created a secure and efficient API layer.
One of the main challenges was integrating the AI component to accurately interpret user queries and match them with relevant artworks. This required fine-tuning the natural language processing algorithms and creating a comprehensive tagging system for the art database.
AWS Amplify was used for deployment, providing a streamlined CI/CD pipeline and simplifying the process of updates and maintenance.
Viewfinder has been praised for its innovative approach to art exploration, intuitive interface, and the quality of its recommendations. It has increased engagement with digital art collections and introduced new audiences to the world of art, breaking down traditional barriers to art appreciation.