https://github.com/ehtisham-sadiq/movie-genre-prediction

The "Movie Genre Prediction" project is a comprehensive machine learning system designed to forecast a movie's genre by analyzing its attributes. By employing advanced machine learning methods, it strives to improve genre classification accuracy, offering valuable insights to creators, film aficionados, and the entertainment sector.
https://github.com/ehtisham-sadiq/movie-genre-prediction

docker feature-engineering feature-extraction flask machine-learning nlp-machine-learning webapp

Last synced: about 2 months ago
JSON representation

The "Movie Genre Prediction" project is a comprehensive machine learning system designed to forecast a movie's genre by analyzing its attributes. By employing advanced machine learning methods, it strives to improve genre classification accuracy, offering valuable insights to creators, film aficionados, and the entertainment sector.

• Host: GitHub
• URL: https://github.com/ehtisham-sadiq/movie-genre-prediction
• Owner: ehtisham-sadiq
• Created: 2022-08-19T15:12:12.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-18T13:31:41.000Z (about 1 year ago)
• Last Synced: 2023-10-18T14:37:23.448Z (about 1 year ago)
• Topics: docker, feature-engineering, feature-extraction, flask, machine-learning, nlp-machine-learning, webapp
• Language: HTML
• Homepage:
• Size: 21.4 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Movie Genre Prediction - Deployment

### Key Topics Covered:

- **Data Collection and Preprocessing:** Explore the methods used to gather movie data and the steps involved in cleaning and preparing the dataset for analysis.

- **Feature Engineering:** Learn how feature selection and engineering play a crucial role in building effective genre prediction models.

- **Machine Learning Models:** Dive into the world of machine learning algorithms, from classic methods to deep learning, and understand how they are applied to predict movie genres.

- **Evaluation Metrics:** Discover the metrics used to assess the performance of genre prediction models, ensuring they meet industry standards.

- **Model Deployment:** Explore the deployment of the machine learning model into a production environment for real-world applications.

- **User Interface:** Understand how to create an intuitive user interface for users to interact with the genre prediction system.

![Kaggle](https://img.shields.io/badge/Dataset-Kaggle-blue.svg) ![Python 3.6](https://img.shields.io/badge/Python-3.6-brightgreen.svg) ![NLTK](https://img.shields.io/badge/Library-NLTK-orange.svg)

• This repository consists of files required to deploy a ___Machine Learning Web App___ created with ___Flask___ on ___Heroku___ platform.

• If you want to view the deployed model, click on the following link:


Deployed at: __

• If you are searching for __Code__, __Algorithms used__ and __Accuracy__ of the model.. you won't find it here. Click the link mentioned below for the same:


Link: _https://github.com/bsef19m521/Movie-Genre-Prediction_

• Please do ⭐ the repository, if it helped you in anyway.

• A glimpse of the web app:

![GIF](readme_resources/predicting-genre-web-app.png)

_**----- Important Note -----**_


• If you encounter this webapp as shown in the picture given below, it is occuring just because **free dynos for this particular month provided by Heroku have been completely used.** _You can access the webpage on 1st of the next month._


• Sorry for the inconvenience.

![Heroku-Error](readme_resources/application-error-heroku.png)