🧠 SkillSync — Skill Match & Gap Analysis Platform

Python · FastAPI · SQLite · Streamlit · Pandas

📘 Project Overview

SkillSync is a full-stack Skill Match & Gap Analysis system designed for job seekers.

Users select a job role and their resume skills, and the application analyzes how well their skills match industry expectations.

The system:

• Calculates skill match percentage
• Identifies matched and missing skills
• Displays a skill gap analysis table
• Uses FastAPI for backend APIs and Streamlit for frontend UI

🌐 Live Application

• Frontend (Streamlit App):
  👉 https://skillsync-frontend-mrunmayee.streamlit.app/

• Backend (FastAPI API):
  👉 https://skillsync-gwqj.onrender.com

📸 Demo Screenshots

✨ Features

• Dropdown selection for job roles
• Multi-select resume skills (avoids typing errors)
• Skill match percentage indicator
• Matched vs Missing skills breakdown
• Skill gap analysis table
• Fully deployed and shareable

📁 Project Structure

SkillSync/
│
├── frontend/
│   ├── app.py                 # Streamlit frontend
│   └── requirements.txt       # Frontend dependencies
│
├── database.py                # Database configuration
├── models.py                  # SQLAlchemy models
├── schemas.py                 # Pydantic schemas
├── skill_lib.py               # Job role → skills mapping
├── main.py                    # FastAPI backend
├── requirements.txt           # Backend dependencies
│
└── README.md                  # Project documentation

Note: Virtual environments, __pycache__, and local database files are excluded from the repository.

⚙️ How It Works

1. User selects a job role
2. User selects their resume skills
3. Frontend sends skills to the backend
4. Backend compares resume skills with required role skills
5. Results returned:
   • Match percentage
   • Matched skills
   • Missing skills
   • Skill gap analysis table

🛠️ Tech Stack

Backend

• FastAPI
• SQLAlchemy
• SQLite
• Pandas

Frontend

• Streamlit
• Requests
• Pandas

🚀 Run Locally

1️⃣ Clone the Repository

git clone https://github.com/mrunmayee3108/SkillSync.git
cd SkillSync

2️⃣ Start Backend (FastAPI)

pip install -r requirements.txt
uvicorn main:app --reload

Backend runs at:

http://127.0.0.1:8000

3️⃣ Start Frontend (Streamlit)

pip install -r frontend/requirements.txt
streamlit run frontend/app.py

🧠 Future Enhancements

• User authentication
• Resume PDF parsing
• Skill recommendations
• NLP-based skill extraction
• User-specific dashboards

📄 License

MIT License

⭐ Support

If you like this project, please consider giving it a ⭐ on GitHub!

~ Mrunmayee Sachin Potdar