People are exposed to many advertisements and marketing strategies daily. How many of them do people remember a few hours later? Business and Advertising Professionals refer to the seads as “sticky ad,” because they stick with viewers long after they’ve been exposed to them. The process done to remove superficial attributes and keep the most influential attributes is called analysis. The objective of this project is to develop a system which will be suitable for clients and business tycoons to predict and advertise confidently. In this project we will theorize a way to use Data Science which will identify the important parameters for analysis. In this paper, by applying exploratory, predictive and regression analysis for forecasting behavior of Sticky Ad data set, we show that our proposed method is efficient for the clients to advertise products confidently. The analysis part of the project could also be applied to different data sets of various domains by changing the necessary variables.

Elections are one of the biggest events to take place in any democratic country. In India, which has a population of 1.2 Billion, elections are especially important as it selects the leader of about one-sevenths of the World’s Population. The usual method of voting is through the use of Electronic Voting Machines (EVM). In this modern era, where technology is being used in every sphere of life, considering the fact that Voting is one of the fundamental rights of every citizen of a democratic country, technology should be used to stop any unfair means being used in the elections. The objective of this project is to develop a system which will be suitable for elections in countries like India. In this project we use Arduino and Finger Print Scanner which will identify its voters and prevent digital malpractices. We also propose a mobile application which will enable the voters to cast their vote from anyplace they want. The proposed system is more digital, technology-based and secure.