This is a simple website that helps users discover their ideal career path by answering 15 McKee-style questions. Based on the answers provided, the application suggests the most suitable career options for the user.
- Interactive Quiz: Users answer 15 questions about their preferences, strengths, and work styles.
- Career Suggestions: The application recommends suitable careers based on the user's responses.
- Progress Tracker: A progress bar indicates how far along the quiz the user is.
- Results Visualization: Final career options are displayed, along with a brief description, required skills, and job outlook.
- HTML: Structure and layout of the webpage.
- CSS: Styling and layout design.
- JavaScript: Logic for managing the quiz, calculating scores, and displaying results.
- Clone this repository:
git clone https://github.com/kiruthikpurpose/CareerPathFinder.git
- Open
index.html
in your browser to view the website.
- The website presents users with 15 questions, each with four options to choose from.
- For each selected option, scores are added to different careers (e.g., Software Developer, Data Analyst, Teacher).
- At the end of the quiz, the career with the highest score is suggested as the most suitable job for the user.
- How do you handle high-pressure situations?
- What type of work environment do you prefer?
- Are you interested in technology and working with computers?
The website includes potential career paths, such as:
- Software Developer
- Data Analyst
- Marketing Specialist
- Project Manager
- Teacher
- Sales Representative
- Graphic Designer
- Financial Analyst
- Human Resources Specialist
- Entrepreneur
Each career is accompanied by:
- A brief description
- Necessary skills
- Educational requirements
- Job outlook
You can easily modify or add new questions and career paths by editing the questions
and careerInfo
objects in the JavaScript file.
- Add more career options and questions to increase accuracy.
- Integrate a backend to store user results.
- Allow users to share their results on social media.
Contributions are welcome! Feel free to open an issue or submit a pull request if you have suggestions or improvements.
This project is licensed under the MIT License.