Data Analytics
Team ExperienceAI Career Recommender
An NLP-based system that recommends personalized career paths from a user's skills and interests, with 86% classification accuracy.
Client
Personal Project
Industry
Career / Education Technology
Services
AI/ML Development
Status
Completed
The Challenge
Turning free-form user input about skills and interests into structured, machine-readable features that a classifier could use to make relevant career recommendations.
The Solution
Ajay applied NLP-based text preprocessing and feature extraction, then built and evaluated a Scikit-learn classification pipeline, wrapping the model in an interactive Streamlit app.
Team Contribution
- NLP text preprocessing and feature extraction
- Machine learning classification pipeline (Scikit-learn)
- Model evaluation and accuracy tuning
- Interactive Streamlit interface development
Key Features
- NLP-based skill and interest analysis
- Machine learning career classification
- 86% classification accuracy
- Interactive Streamlit recommendation interface
Technology
PythonNLPScikit-learnStreamlit
Results
The classification pipeline achieved 86% accuracy in recommending relevant, personalized career paths.