A movie and music poster generator engine written in python for some reason.

Movie / Film recommendation system built using Java utilizing knowledge graph technology.

Simple BASH script to download IMDB data into sqlite database.

This is a collection of some of my web scraping projects in scrapy framework

​Sentiment analysis on IMBD ​Large Movie Review Dataset​

Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build similar projects.

A web project that utilizes HTML, CSS, and JavaScript to search for movies and retrieve detailed information about them would be a valuable tool for film enthusiasts.

A Final Project collaborated within a group of 3 team members. The description of our final project was to create a recommendation system (Using Weighted Graphs) and displaying the output with a UI).

Application for performing movie comparisons using AHP process

IMDb data of all the movies and TV shows released on 2020

Java Android App. Keep track of your favorite movies.

Classifies the movie reviews as positive or negative using LSTM Networks

Code and files associated with the Project called 'Deploying a Sentiment Analysis Model', part of the Machine Learning Engineer Nanodegree at Udacity. This project is the second of this Nanodegree, and is part of the module 'Machine Learning in Production'

Flatiron Data Science - Mod1 Project

An application for finding info for movies and watching their trailers. The app works with themoviedb.org. Working with Axios, setting up React routes, connecting to a database, building logic for dynamic display of incoming data.

Analyzing IMDB data to dig out the meaningful insight using MySQL which can assist RSVP Movies to make decisions.

IMBD movie project using SQL

[Finished] Historical movie review analysis and search review by keywoards. The data used is scrapped from IMBD page and stored in plain text. Technologies used: Lucene to inverted index and Mallet to classify.

A full random movie suggestion system, built from scratch: from collecting web data IMDb till showing the suggestions in a webpage.