CineLyric is a mobile app that helps you find movies and music just by recalling a few words — whether it’s a line from a film or a lyric from a song. Type it in (or speak it out loud), and CineLyric digs through heaps of data to figure out what you’re talking about.

It’s like having that one friend who instantly knows the movie from a random quote — but powered by algorithms.

The app combines text-to-speech, natural language processing, and information retrieval techniques to identify and rank possible matches for any dialogue or lyric you input.

Behind the scenes, CineLyric uses:

TF-IDF and Cosine Similarity to find and rank the most relevant results.

A massive dataset of movie and music metadata processed through data extraction, cleaning, and mining pipelines.

A content-based recommendation system to suggest related movies and songs you might like.

Search movies by dialogue or songs by lyrics

Text and voice-based search input

Accurate similarity ranking using TF-IDF + Cosine Similarity

Clean and efficient data processing from large datasets

Recommendation system powered by content-based filtering

Modern, mobile-friendly UI for quick, smooth searches

Frontend: Flutter

Backend: Python (Django / FastAPI)

Data Processing: Pandas, Scikit-learn, Kaggle

Database: PostgreSQL / SQLite

Machine Learning: Cosine Similarity + TF-IDF