A first AI agent project for movie recommendations
After about 15 days of learning , the builder practiced REST APIs, basics, , , tool use, and , then made a movie recommendation app called Kinophile. The app takes favorite movies or a preferred movie style and returns a user-chosen number of recommendations.
It analyzes taste and can suggest international films, arthouse films, and mainstream movies. The stack uses Python, Groq API, Llama API, and movie database APIs from IMDb, TMDB, and OMDB.
Each recommended title is checked against those databases before it is shown. The result includes the movie poster, IMDb rating, director, and an explanation of why the movie was selected.
Key points
- The project uses to build an .
- The user enters favorite movies or the kind of movies they want.
- The app returns as many recommendations as the user asks for.
- Movie titles are verified with IMDb, TMDB, and OMDB before being recommended.
- Each result includes a poster, rating, director, and selection reason.