CareerMap- Mapping Tech Roles With Personality & Skills

The current research done in the field of Career Guidance system has been very nascent and limited in its approaches. In terms of ML Based approaches required to build an AI Career Guidance System, we require a good amount of labeled data. The requirements for which were not being able to be fulfilled in a single dataset. Hence, we took the ensemble approach of combining datasets to solve the problem of building a Career Guidance system. Based on Literature Review conducted, it has been observed that apart form proficiency skills in various domains and concepts of Computer Science, a candidate’s psychological traits also played an important role in predicting their career. Thus, with sufficient literature reviewed and individual datasets obtained, we form our problem definition as:

“To combine datasets of psychological traits and proficiency in technological skills and apply Machine Learning models to predict the career of an individual in the field of Computer Science delivered through an interactive frontend.”

The dataset consists of 9180 rows and 28 features.
The features include:
1. Database Fundamentals
2. Computer Architecture
3. Distributed Computing Systems
4. Cyber Security
5. Networking
6. Development
7. Programming Skills
8. Project Management
9. Computer Forensics Fundamental
10. Technical Communication
11. AI ML
12. Software Engineering
13. Business Analysis
14. Communication skills
15. Data Science
16. Troubleshooting skills
17. Graphics Designing
18. Openness
19. Conscientiousness
20. Extraversion
21. Agreeableness
22. Emotional Range
23. Conversation
24. Openness to Change
25. Hedonism
26. Self-enhancement
27. Self-transcendence
28. Role