Student Placement & Career Predictor

A machine learning-based web application to predict a student’s performance, career path, and salary range based on academic, projects and Leetcode questions count.

Built using React.js (Frontend) and Flask (Backend), with data stored in SQLite and models trained using Scikit-learn.

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Features

• Predicts student performance based on profile
• Suggests likely career path (e.g. SDE, Analyst, Data Scientist)
• Estimates salary range
• Stores records in SQLite database
• (Optional) JWT-based authentication system
• Clean folder structure for full-stack projects

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Tech Stack

Frontend

• React.js + Vite
• Axios (HTTP requests)
• React Router DOM

Backend

• Python Flask
• Flask-JWT-Extended (for login/authentication)
• Flask-CORS
• SQLAlchemy ORM
• SQLite database

ML Models

1. Performance_model.pkl – Logistic Regression
2. career_model.pkl – Random Forest
3. salary_model.pkl – Decision Tree
4. badge_encoder.pkl – LabelEncoder (LeetCode badges)

Structures:

student-placement-predictor/ ├── backend/ │ ├── app.py │ ├── models/ │ └── requirements.txt ├── frontend/ │ ├── src/ │ │ ├── components/ │ │ │ └── PredictorForm.jsx │ │ ├── pages/ │ │ │ └── ResultPage.jsx │ │ └── App.jsx │ └── package.json ├── README.md └── .gitignore

Future Improvements:

1. Deploy with Docker + CI/CD
2. Add admin panel to view all students' performance

Author

Made by Akansha Kumari email: akanshakumari3204@gmail.com LinkedIn: http://www.linkedin.com/in/akanshaku