Skill-Based Student Progress and Career Recommendation System

A mini project for tracking student certification progress, extracting skills, and recommending suitable career opportunities.

🎯 Project Objective

Many students complete online certification courses but struggle to:

• Track their acquired skills
• Align skills with career opportunities
• Identify skill gaps for desired jobs

This system solves these problems by:

1. Tracking student progress in certification courses
2. Extracting and categorizing learned skills
3. Matching students with suitable jobs/internships
4. Identifying skill gaps and recommending learning paths

✅ Current Implementation

Completed Features:

• ✅ Student data collection and storage
• ✅ Job posting database with required skills
• ✅ Comprehensive skill dictionary (80+ skills)
• ✅ Skill extraction from course names
• ✅ Proficiency calculation (weighted by completion %, grade, time spent)
• ✅ Student skill profile builder
• ✅ Job matching algorithm using cosine similarity
• ✅ Skill gap analysis
• ✅ Data visualizations and reports

Demo Statistics:

• 30 students with 80+ course enrollments
• 20 job postings from various companies
• 80+ technical skills tracked across 8 categories
• Average match accuracy: ~65%

📊 Sample Outputs

1. Student Skill Profile - Bar chart showing proficiency in each skill
2. Job Recommendations - Top 5 matching jobs with match percentages
3. Skill Gap Analysis - Skills needed vs skills possessed
4. Overall Statistics - System-wide analytics

🛠️ Tech Stack

• Language: Python
• Libraries:
  • Pandas, NumPy (data handling)
  • Scikit-learn (TF-IDF, cosine similarity)
  • Matplotlib, Seaborn (visualizations)
• Storage: CSV files
• Development: Jupyter Notebook

📁 Project Structure

skill-career-recommendation-system/
├── data/
│   ├── student_data.csv
│   ├── jobs_data.csv
│   └── student_data_with_skills.csv
├── notebooks/
│   └── 01_data_creation.ipynb
├── outputs/
│   ├── student_profiles.csv
│   ├── recommendations.csv
│   ├── demo_summary.txt
│   └── *.png (visualizations)
└── README.md

🚀 Future Enhancements (70% remaining)

• Advanced NLP for better skill extraction
• Resume parsing capability
• Skill verification quiz system
• Interactive dashboard (Streamlit/Flask)
• Integration with learning platforms
• Real-time job scraping
• Machine learning-based recommendations

👥 Team

Team of 4 students - 5th Semester Mini Project

📝 License

Academic project for educational purposes