CineMatch

Intelligent Movie Recommendation Engine powered by Machine Learning, NLP (Natural Language Processing), and real-time Sentiment Analysis via TMDb API.

flask

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82 Stars

0 Forks

1 Watchers

Jupyter Notebook Language

89.8 SrcLog Score

Cost to Build

$384.9K

Market Value

$720.6K

How is this calculated?

Growth over time

4 data points · 2026-07-21 → 2026-09-21

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What is the devaldaki3/CineMatch GitHub project? Description: "Intelligent Movie Recommendation Engine powered by Machine Learning, NLP (Natural Language Processing), and real-time Sentiment Analysis via TMDb API.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone CineMatch

Clone via HTTPS

git clone https://github.com/devaldaki3/CineMatch.git

Clone via SSH

[email protected]:devaldaki3/CineMatch.git

Download ZIP

Download main.zip

Found an issue?

Report bugs or request features on the CineMatch issue tracker:

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