CineVote

Movie lovers often struggle to find reliable film recommendations beyond mainstream algorithms, and existing platforms lack meaningful community engagement around film discovery. I identified the need for a more democratic approach where users could actively participate in curating and rating content for their peers.

I designed a voting-based system that prioritizes community input over algorithmic recommendations, implementing features for real-time voting, detailed film discussions, and personalized watchlists. I focused on creating an intuitive interface that encourages active participation while maintaining clean, accessible design principles throughout the user journey.

I began with user research and competitive analysis to understand pain points in existing platforms, then created wireframes and prototypes to test core voting mechanics. I developed the application using modern web technologies, implementing responsive design patterns and optimizing for both desktop and mobile experiences while conducting iterative user testing throughout development.

The platform successfully demonstrates how community-driven curation can enhance film discovery, with the voting system creating more engaging user interactions than traditional rating methods. I gained valuable experience in building collaborative features and learned important lessons about balancing user autonomy with guided discovery experiences.