Over the past two decades, election campaigning process has been heavily dominated by the use of technology which greatly impacts the results. The use of Artificial Intelligence and Data Analysis can hugely influence any party?s election campaigning, ultimately impacting the results. The tren
Let AI decide your next vote
Over the past two decades, election campaigning process has been heavily dominated by the use of technology which greatly impacts the results. The use of Artificial Intelligence and Data Analysis can hugely influence any party’s election campaigning, ultimately impacting the results.
The trends, in this regard are to benefit political parties, undermining the voters. Mostly voters cast their vote due to some political or non-political affiliations with the candidate. Majority of the voters lack basic knowledge about the political parties which could help them decide who is the right candidate or party to vote for.
Being human, it is difficult for us to memorize developments that had happened in the past. We can’t remember each party’s tenure, their positives and negatives. Here we would use Artificial Intelligence to voters’ favor.
To do our part we are creating a project that will be based upon Natural Language processing (NLP) techniques, that will analyze user data obtained from their social media (Twitter) and from this data our system will get information about their field of interests, hence giving suggestions about which party to vote for according to their personality.
The system will analyze the political parties’ performance based on the parameters which are defined by the PILDAT (Pakistan Institute of Legislative Development and Transparency).Some of these parameters are tech, business, sports, health care, education ,tax collection, energy production and management, investment, anti-corruption, environment.
The system would turn the table around for voters. Voters would be then able to cast their vote easily even without any knowledge of the political parties. The application would use voters’ social media posts (Twitter) and analyses the acquired data to figure out the interests of the voter and then compare them with each party’s performance which is based on parameters mentioned by PILDAT, eventually telling who would be the best party for them to vote for.
The system aims at lessening the burden on the voters of remembering each and every success and failure of the current ruling parties and other parties when they were previously in the government. This would make elections a bit more equally tough for all the parties taking part in the elections.
The project is aimed at developing a system that would help the voters of the region decide efficiently and decisively whom should they vote. The system reaches a decision without any biasness based on the data provided by the users’ Twitter Handle.
The key area of the development is to yield a system which introduces the new and contemptible way of helping the voters. The project is a system which helps voters use their voting right, efficiently and rightly.
The main objectives of the system are:
• To give voters a modern tool to decide their vote.
• Help voters reach a logical decision based on data and analytics.
• To help achieve unbiased voting.
• To prevent voters from AI bots which manipulate their opinion.

To implement the project first we will collect the data from Twitter, for which we will use twitter's official API.

After designing of this app, the methodology selected should be flexible in order that it is often molded as user’s interest changes or with any increase in features of application. for instance, introducing new fields and features. So, our project will follow agile process model.
Limitations
1. It will help voters utilize their right to vote in a more decisive and logical way.
2. Voting process will be less biased.
3. Voters will have an on-hand technology that would help them decide vote.
4. The process of voting will be based on data analytics using NLP.
This would be a web based application which provides user with the facility of using NLP technology, to decide which party they should vote. The system would make a decision based on their social media activity (Twitter) i-e, Tweets, re-tweets, likes.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Twitter API | Equipment | 2 | 28000 | 56000 |
| Web Hosting | Equipment | 1 | 10000 | 10000 |
| Printing | Miscellaneous | 5 | 2000 | 10000 |
| Mobile Internet | Equipment | 2 | 2000 | 4000 |
| Total in (Rs) | 80000 |
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