Career Starter

Career Starter is a web application that provides users with career study paths based on their chosen profession or career. It helps users understand the educational requirements, skills, and steps needed to pursue a specific career.

Features

• Career search: Users can search for a specific career or profession to get detailed information about it.
• Study path recommendation: Based on the selected career, the application provides a recommended study path, including educational programs, courses, certifications, and relevant resources.
• User authentication: Users can create accounts, log in, and save their favorite careers and study paths for future reference.
• User interactions: Users can rate and review study paths, share them on social media, and provide feedback on the application.

Technologies Used

• Frontend: React.js, Next.js, TypeScript, Tailwind CSS
• Backend: Spring Boot (Java), MySQL
• API Documentation: Swagger

Installation

1. Clone the repository: git clone <https://github.com/sammiearchie77/career-starter/>
2. Navigate to the project directory: cd career-starter
3. Set up the backend:
   • Navigate to the backend directory: cd backend
   • Install dependencies: mvn install
   • Configure the database connection in application.properties
   • Run the backend server: mvn spring-boot:run
4. Set up the frontend:
   • Navigate to the frontend directory: cd frontend
   • Install dependencies: npm install
   • Configure the API endpoint in .env.local file
   • Run the frontend server: npm run dev
5. Access the application: Open your browser and visit http://localhost:3000

API Documentation

The API documentation for the backend services can be accessed at /api-docs endpoint once the application is running. It provides detailed information about the available endpoints, request/response structures, and authentication requirements.

Contributing

Contributions are welcome! If you find any bugs or have suggestions for improvements, please open an issue or submit a pull request. Make sure to follow the existing code style and guidelines.

License

This project is licensed under the MIT License.

Acknowledgements

• Alx Africa for the opportunity to be learn new stack, understand old stack and where exactly do I fit in as a Software Engineer? how good can I become? What is the future of the Industry as a Software Engineer?
• OpenAI for providing the GPT-3.5 language model used in the chatbot feature.
• React, Spring Boot, and other open-source libraries and frameworks used in this project.
• Special thanks to all the contributors and testers who helped make Career Starter a reality.