We live in very uncertain and turbulant times. We need to be prepared for the worst and be able to handle the best. The only thing that has the power to change our futures is our ability to vote. It is important that we make sure that we choose the right person to lead us to the future.
In my opinion the best way to judge a person is to look at their past actions and see whether they were able to uphold their promises.
PolCon is a web application that helps you to just that with a simple and easy to use interface which allows us to see these political figures for what they truely are and make an informed voting decision.
During elections people are often asked to vote for a politician, but they are often not sure which politician is the best one to vote for because of the lack of information about their past. Acquiring this information usually takes hours of research which discourages most people from looking for the information at all. This leads people following the words of their politicians blindly and often vote for the wrong person.
Polcon does all the heavy lifting for you so you don't have to spend time and energy researching the information and gives you the information you need to make an informed decision.
- Visit the url = https://pol-con.vercel.app/.
- Enter the name of the political figure you want to research in the input field.
- Click on the "Get Information" button.
- Wait for the information to load.
- Read the information and make an informed decision.
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Toolhouse AI Agents provide powerful natural language processing capabilities to analyze and extract contradictions from political statements. They enable the system to process and present complex information in an easily understandable format.
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- Clone the repository:
git clone https://github.com/SplinterSword/PolCon.git - Navigate to the project directory:
cd PolCon
- Navigate to the frontend directory:
cd frontend - Install dependencies:
npm install - Start the development server:
npm run dev
- Navigate to the backend directory:
cd backend - Install dependencies:
pip install -r requirements.txt - Start the development server:
uvicorn main:app --reload
If you have any suggestions or feedback, please don't hesitate to open an issue or create a pull request.