Job Recommendation Engine

A personalised Job Recommendation Engine built with FastAPI, MongoDB, and Scikit-learn. It suggests jobs to candidates based on their skills using TF-IDF and Cosine Similarity.

🚀 Features

• Content-based job recommendations (skills → jobs)
• FastAPI backend with REST API endpoints
• MongoDB as the data source for users & job posts
• Real-time recommendations based on candidate profile

🛠️ Tech Stack

• Backend: FastAPI (Python)
• Database: MongoDB
• Machine Learning: Scikit-learn (TF-IDF, Cosine Similarity)

⚙️ Workflow

• User adds skills in the portal.
• React frontend sends request → /recommend/{user_id}.
• FastAPI backend fetches user profile + job posts from MongoDB.
• Recommender Engine (TF-IDF + Cosine Similarity) finds top matches.
• Backend returns JSON with recommended jobs.
• Frontend displays jobs to the user.

📂 Project Structure

job-recommendation-engine/
│── main.py                 # FastAPI entry point
│── routes/                 # API routes
│   └── recommendation.py   # Job recommendation endpoint
│── model/                  
│   └── recommender.py      # TF-IDF + Cosine similarity logic
│── database/               
│   └── db_connection.py    # MongoDB connection
│── requirements.txt        # Python dependencies
│── README.md               # Project documentation

🔮 Future Enhancements

• Hybrid recommendations (skills + job history)
• Resume parsing for auto-skill extraction
• Deployment to cloud (Render, Vercel, or AWS)

🌐 Live Demo:

• Try the app here 👉 Deployed Link

📧 Contact:

Developed by Shubham Topiyal

📨 shubhamtopiyal0786@gmail.com

📌 Feel free to reach out for feedback or collaboration!