Machine Learning project that predicts student placement outcomes based on academic performance, employability test scores, and work experience using classification models.

A static placement company landing website built with HTML, CSS, and JavaScript, deployed using GitHub Pages to present placement services and drive engagement.

Student Placement Prediction Model is an end-to-end machine learning project that predicts student placement outcomes based on features like CGPA and IQ. It uses Python (Pandas, Scikit-learn) to process data, train a model, and assess placement probability for each student.

Predicting student placement based on CGPA and IQ using SVM (Support Vector Machine kernel="rbf").

Minor Machine Learning project on Student Placement Prediction

A web-based Placement Cell Management System that streamlines student recruitment by enabling role-based dashboards, company listings, and application tracking using Firebase.

Student Placement Predictor is a machine learning-based project that predicts whether a student is likely to be placed or not based on academic and skill-related inputs. Built with Scikit-Learn, it uses SVC and Random Forest models and features a Flask-based frontend for real-time prediction.