A data science project to predict college student placement outcomes and estimate expected salary packages using classification and regression models.
A role-based college placement management system built with Python, Flask and MySQL.
Predicting student placement outcomes using machine learning techniques
A full-stack college placement management system with role-based portals for Admin, Students, Recruiters, and Placement Officers. Built with React 18 + TypeScript + Tailwind CSS frontend and PHP 8.2 + MySQL backend.
This project is a College Placement Database Management system designed to efficiently handle and organize placement-related data. It facilitates management of student records, company information, and placement activities, streamlining the administrative processes involved in campus recruitment.
A Django-based college placement management platform connecting students, recruiters, and college administrators.
Interactive Streamlit dashboard for analyzing college placement data, including department-wise placements, company hiring trends, package analytics, year-wise performance, and student-level insights.
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