Development of a Scalable Human-Centered Entertainment Recommendation Platform

The client requires a robust, scalable, and cross-platform application that enables users to share personalized entertainment recommendations (movies, TV shows, books, and more) directly with friends. The platform must support seamless collaboration, transparency, and a human-centered experience. Existing infrastructure has issues with code maintainability and scalability, hindering future expansion and performance optimization.

A technology-driven startup aiming to create a social platform for users to share and discover entertainment content based on genuine human recommendations.

• Refactor and optimize the existing codebase to adhere to best practices, ensuring improved performance and maintainability.
• Ensure the platform is scalable to support future feature updates and increased user activity without compromising stability.
• Enhance communication workflows between development teams to facilitate seamless collaboration and transparency.
• Integrate advanced technologies to deliver optimized performance and an engaging user experience.
• Launch a fully functional, cross-platform mobile application available on major app stores to foster user engagement and social sharing.

• Code refactoring adhering to platform-specific best practices for performance enhancement.
• A scalable architecture supporting future feature integrations.
• User profile management allowing sharing and discovery of personalized entertainment recommendations.
• Social sharing capabilities for real-time recommendation sharing with friends.
• Communication workflows enabling smooth collaboration among development teams.
• Integration of cutting-edge technologies to enhance responsiveness and user engagement.

• Third-party performance optimization tools
• Social media APIs for content sharing
• Analytics and user engagement tracking systems

• Application must be scalable to support increasing user base without degradation of performance.
• Optimized load times and responsiveness across devices.
• Secure handling of user data with adherence to privacy standards.
• Availability of seamless updates and deployment pipelines.

The new entertainment recommendation platform aims to enhance user engagement by providing an intuitive, seamless experience for sharing and discovering content. By improving code maintainability and scalability, the project is expected to support future feature expansion, leading to increased user adoption and retention. The application will position the client as a leading social entertainment platform, fostering community growth and enabling continuous innovation.