Predicting The General Election 2024 Using ML And Data Analytics
Pradyumna Parida, Sneha Sinha, Arun Prakash Agrawal, Raghuraj Singh Yadav · 2023
The world today is full of emerging technologies and one of the most rising fields is Artificial Intelligence. As a result of increased computation power, numerous new machine learning algorithms have emerged. We are working on experimental research which aims to predict the election results of the 2024 Indian General Elections/Lok Sabha Election which will we contested for 545 Lok Sabha Seats. To parametrize computations such as coalitions and swings on all seats, Data Analysis would be employed. The swing parameters are then calculated using machine learning techniques like Linear Regression, Naive Bayes, Random Forest, Time Series, etc. using prior election data specific to relevant seats. To reckon emotions important to the elections, a huge corpus of recent publications and/or twitter tweets can be used. We may be able to apply swings to the vote shares of each party in each constituency and produce viable projections with the necessary biases based on subjective data. Various parameters will be taken in account to thoroughly analyze the data to get the right swings and the mindset of the respondent to know what their needs are, reasons to switch and are they satisfied with the current candidate and whether their conditions are met or not et cetera. Our vision is to detect the popular trends to get the insights into existing potential voters. Determine voter’s response to promote cross opportunities. Attract, Retain & Grow improving decision making & better drive decisions.