ABSTRACT

• 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.

EXISTING SYSTEM

•  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.

PROPOSED SYSTEM

• 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

election result prediction using machine learning, Predicting election results using machine learning GitHub, Sentiment analysis to predict election results using Python, Election prediction dataset, Election-analysis project using Python, deep learning-based election results prediction using twitter activity, Election results Python, AI election prediction, Election data analysis using Python, Election result prediction using Twitter sentiment