This project is a fun and interactive game where users try to guess the IMDb rating of randomly selected movies based on key movie attributes. Each round presents players with a movie's title, poster, plot summary, director, and other relevant details—challenging them to estimate the rating as accurately as possible.
Once a guess is submitted, the game reveals the actual IMDb score and calculates a score based on how close the guess was. The closer the player is to the real rating, the more points they earn. The game encourages pattern recognition and intuition about how different elements—like a director's reputation or a plot's originality—might influence a film's reception.
Behind the scenes, the game pulls movie data from the OMDb API and incorporates a clean, responsive UI built for smooth user interaction. This project blends data-driven gameplay, design, and movie trivia into a unique experience that appeals to both film lovers and casual players alike.
This project helped me dive deeper into building interactive web apps, handling real-time user input, and designing simple but addictive game mechanics. I also gained experience integrating third-party data and improving UX through visual feedback and responsiveness.