Pujari Niteesh

As we all know , India is biggest democratic country in the world . Elections held in India is the biggest as it involves 1.3 billion people . So , with this huge population administration becomes very problematic and there are always people who will be ignored and un-cared . It is very difficult for a commoner to express his problems and it is even more difficult for the leaders to keep track of his people and come up with a solution for their problems as there will be thousands of new complains every day . Even when the funds are released to solve few problems , money crosses many hands and the problems which are needed to be solved will receive less money than expected , which then results in low quality infrastructure . So to solve this problem my team have come up with an idea . We have made a Social Media Application which supports three different UI’s as listed Below : 1) Admin’s UI : Our software will take in the voters data which should include age , gender , profession and their problem . Later , using Machine Learning K-Means Algorithm clusters or groups are formed and it automatically suggests the user (in this case representative ) what is the best course of action they can take based on how many people get effected , which age group and profession it will effect , Budget etc . Based on this output , our Administrators can decide on which problems he/she need to focus on solving. 2) People’s UI : In here People have to login using their Aadhar Card and Voter Id . They need to choose their constituency so that they can mention their problems . They can also view popular problems in the country and help other villages in solving their problems if they have a efficient solution . 3) Community UI: In here people can join different communities based on their Profession or interests to keep up-to-date with the everyday technologies .