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Career recommendation interface
Machine Learning ApplicationCompleted
Career Recommendation System
A machine-learning web application that recommends potential career paths based on a user's skills and interests.
- Python
- Scikit-learn
- Streamlit
- SHAP
- Groq
Interface Preview
Overview
A machine-learning web application that recommends potential career paths based on a user's skills and interests.
Key Features
- Skill input
- Career prediction
- Scikit-learn model
- Explainable recommendation layer
- SHAP-based explanation
- Generated career guidance
- Streamlit interface
Technology / Architecture
- Python
- Scikit-learn
- Streamlit
- SHAP
- Groq
Challenges & Learnings
Challenges
- Designing recommendations that remain explainable instead of feeling like a black-box prediction.
- Balancing generated guidance with model-driven career suggestions.
Learnings
- Recommendation tools need clear explanations so users understand why a suggestion appears.
- Simple interfaces can make machine-learning outputs easier to explore.