Lecture Notes: Career Opportunities Application Development

Inspiration Behind the Project

• Motivated by global challenges: economic crisis, wars, climate change.
• These issues impact employment and career development.
• Personal journey of exploring new opportunities highlighted complexity and importance of career progression.
• Aim: Develop an application that matches jobs to candidates, aids in seamless career transitions, and offers career guidance.

Project Mission

• Simplify and accelerate the job search and career growth process.
• Make tools accessible for anyone seeking employment or career development.

Development Steps

1. Installing Packages

• Install necessary packages in the project directory.

2. Downloading the API Key

• Obtain and set up an API key for external services.
• Store the API key in a Kaggle secret.

3. Importing Google Generative AI

• Install Google Generative AI SDK.
• Import it into the application code.

4. Résumé PDF Downloading

• Supports downloading résumés in PDF format.
• Useful for recruiters, career advisers, and users.

5. Generation of Embedding Function

• Transforms data (résumés, job descriptions) into vector representations.
• Facilitates matching, similarity search, recommendations.

6. Working with ChromB

• Manages and queries vector data.
• Optimizes data handling and improves query performance.

7. Matching Candidates with Requests

• Matches candidates with job openings based on skills and qualifications.
• Automates matching process to save time for HR professionals.

8. Preparing a Request for Career Analysis

• Utilizes Google Generative AI for career development insights.
• Structures candidate information to analyze skill gaps, opportunities.

9. Skills Description and Configuration

• Defines and configures skills for career analysis.
• Uses AI to provide accurate career advice.

10. Uploading Old Vacancies

• Creates categories for job title matching.
• Aids in generating prompts for relevant job searches.

11. Visualization of Categories

• Visualizes job categories based on old records.
• Assists in aligning job titles with candidate skills.

12. More on Embedding Function

• Converts job data into vectors for semantic understanding.

13. Displaying Candidate Skills and Matched Categories

• Extracts and displays candidate skills and matching job categories.

14. Analysis of Similarities

• Compares skills and job categories for relevance using similarity analysis.

15. Job Search by Categories

• Retrieves job listings based on selected categories using AI models.

16. Search for Most Relevant Jobs

• AI-powered search suggests top job opportunities based on skills.

17. Preparing for an Interview

• Provides personalized interview preparation advice.

18. Job Application Email Generator

• Automatically generates personalized job application emails.

Conclusion

• System simplifies job search and career preparation processes.
• Continuous improvement possible with Google Gen AI.
• Developer is starting to look for a job.