Classify movie posters by genre

Multilabel image classification to classify movie poster and find appropriate movie genre with movie poster. For this project tensorflow framwork is used for deep learning model. The model is converted into tf lite to reduce final model size. This is a complete project with server side code and also fronted. To deploy deep learning model, flask is used and deployed into heroku server. By using Flutter framework frontend web app is developed and deployed into firebase.

Convolutional Neural Net to classify movie genres from posters

A movie script genre classifier.

Automatic Movie Trailer Genre Classifier Model

Welcome to the Movie Genre Classification repository! This project focuses on classifying movies into their respective genres using machine learning techniques. By leveraging natural language processing (NLP) and advanced machine learning models, we aim to accurately predict the genre of a movie based on its synopsis and other relevant features.

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A multi-label movie description classifier that can classify 21 different genres of movies.

The main idea is build a deep neural network with images and text that can Classify a movie genre based on its plot and its poster.

Classifying movie posters using CNN to check if genre of a movie can be determined by just looking at a poster.

NLP MSc Project: Plot-based movie genre classifier

🎬 Movie genre classification using TF-IDF and BERT embeddings with models like MultinomialNB, GaussianNB, BernoulliNB, Logistic Regression, Linear SVC, and Random Forest. Achieved best performance with Logistic Regression and TF-IDF vectorization. 🚀

this project is about movie classifier by deep learning method and high accuracy to classify the genras of films.

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Action Movie Genre Classifier using Scene Transition Network Analysis Metrics as Features

Classifying movie genres based on movie posters using Federated Learning with neural networks (done along with @ChaosAdmStudent)

Movie classifier by genre that is implemented using a version of the KNN algorithm based on fuzzy logic

Using fast-ai, this project attempts classifies a dataset of movie posters into their respective genres

Natural language processing (NLP) group project to create a multi-label classifier for predicting genre(s) given an IMDb movie description

Using Deep neural networks to classify movie genre based on their metadata like poster, director name etc.

Multi-Label Image Classification on Movies Poster using CNN We propose to achieve movie genre classification based only on movie poster images. A deep neural network is constructed to jointly describe visual appearance and object information, and classify a given movie poster image into genres. IT WAS MADE ON GOOGLE COLAB

This project involves building a multi-label text classification model using the IMDB Movie Data, where the goal is to classify movie descriptions into multiple genres. The project demonstrates the use of Transformer-based models (DistilBERT) for multi-label text classification, with a focus on natural language processing (NLP). Below is an outline

Movie genre classifier

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Classifies movie genres using synopses, based on a language model built using IMDb's database

Movie Genre Predictor project aims to predict movie genres based on various features extracted from movie data obtained from The Movie Database (TMDB) API. The goal is to develop a machine learning model that accurately predicts the genre of a movie given its title, overview.

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This model is based on my dataset creation, the original dataset is here: https://drive.google.com/file/d/1iQV5kKF_KGZL9ALx9MMXk_Lg7PklBLCE/view