• The rise of social media has given people all around the world to converse and debate with a very large audience, the sheer amount of exposure a tweet or a post received is unprecedented.
  • Recent development in the field of web Service with Machine learning has led to its usage in several different verticals.
  • This can be used to predict the overall sentiment of the masses in relation to a political party or an individual.
  • This project proposed a web based machine learning models to predict the chances of the winning the election based on the user or supporter opinions on the social media platform.


  •  In the past various approaches have been taken in order to solve the problem.
  • Random forest and decision tree algorithms are among the popular ones.
  • However, they have their own limitations and often fail to capture essential complex features involved in election prediction.
  • Election prediction task intuitively requires a model to identify and weigh the features, same reasoning is used in natural language classification task where LSTMs are widely popular.


  • The proposed system consists of a Web Application.
  • The goal was to determine the optimum tuning of hypermeters in order to increase the accuracy of the predicting model.
  • Advantages
  • • More accurate result can be possible by applying the Deep Neural Network (DNN) Algorithm due to its said accuracy.
  • • Better Time efficiently.
  • • Overcome traditional flaws with latest technology and methods.
    In this project we introduce a model which utilizes DNN in order to carry out the task of election prediction.

Software Requirements:

  • Front End – Anaconda IDE
  • Backend – SQL
  • Language – Python 3.8

Hardware Requirements

  • •Hard Disk: Greater than 500 GB
  • •RAM: Greater than 4 GB
  • •Processor: I3 and Above

Including Packages


  • * Base Paper
  • * Complete Source Code
  • * Complete Documentation
  • * Complete Presentation Slides
  • * Flow Diagram
  • * Database File
  • * Screenshots
  • * Execution Procedure
  • * Readme File
  • * Addons
  • * Video Tutorials
  • * Supporting Softwares

Specialization =======================

  • * 24/7 Support * Ticketing System
  • * Voice Conference
  • * Video On Demand 
  • * Remote Connectivity
  • * Code Customization
  • * Document Customization 
  • * Live Chat Support

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