Many students struggle to decide which career path suits them best in the vast tech domain—be it Machine Learning, Web Development, Cybersecurity, or others. This project aims to solve that confusion using AI.
Users provide inputs like their:
Tech interests (AI, Web Dev, etc.)
Skills (Python, SQL, Cloud, etc.)
Preferred work and learning style
Personal strengths
The app then predicts and recommends the most suitable tech career using a trained ML model.
Python
Scikit-learn
Pandas, NumPy
Streamlit – for UI
Jupyter Notebook – for development and training
git clone https://github.com/abhigyaabs2/career-path-recommender streamlit run career_recommender_app.py
Clean and interactive UI to collect user preferences.
Scikit-learn-based ML model to recommend a suitable career path.
Modular code for easy scaling and enhancements.
Add more detailed career recommendations (courses, companies, etc.)
Include resume parsing for automated profile analysis
Switch to classification with real career-labeled user data