MYSTYX7 / Yocket-Assessment

Home Page:https://yocket-assessment.onrender.com

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Yocket Assessment

Demo Link: Yocket Assessment

Description: In this game, you play as one of three fearless cops tasked with capturing a notorious criminal escape artist who has vanished yet again. The criminal is believed to be hiding in one of the five neighboring cities, and it's up to you to use your investigative skills to track them down.

How to Play:

  1. You start the game by selecting one of the five neighboring cities where you believe the fugitive is hiding.
  2. Each cop takes turns guessing a city where they think the fugitive might be hiding.
  3. After each guess, you'll receive feedback indicating whether the fugitive is hiding in the selected city or if they've managed to escape to another location.
  4. Keep guessing until you successfully locate the fugitive or until they manage to evade capture.

Installation:

  1. Clone the repository to your local machine using the following command:

    git clone https://github.com/MYSTYX7/Yocket-Assessment.git
    
  2. Navigate to the project directory:

    cd yocket-assessment
    
  3. Install dependencies using npm:

    npm install
    
  4. Run the game using command:

    npm run start
    

Running the Game:

  1. After installing dependencies, start the game by running:

    npm start
    
  2. Once the game has started, follow the on-screen instructions to select a city and take turns guessing the fugitive's location.

Technologies Used:

  • React: Utilized for building the user interface and managing game state.
  • CSS: Employed for styling the components, providing an engaging visual experience.

Additional Notes:

  • This game is for entertainment purposes only and does not simulate real-life law enforcement activities.
  • Enjoy the thrill of the chase as you and your fellow cops work together to capture the elusive fugitive!

About

https://yocket-assessment.onrender.com


Languages

Language:JavaScript 51.7%Language:CSS 39.6%Language:HTML 8.7%