Student Performance Analysis System Using Python | ML Based College Project скачать в хорошем качестве

Student Performance Analysis System Using Python | ML Based College Project

Student Performance Analysis System (ML Based Academic Monitoring System) This project is a web-based application developed using Python Flask, SQLAlchemy, HTML, CSS, and Machine Learning. The system helps educational institutions monitor student academic performance and identify students who are at risk. The system includes multiple user roles such as Principal, HOD, Teacher, Student, and Coordinator, each with specific functionalities. Key Features ✔ Student Registration ✔ Role-Based Login System ✔ Attendance Management ✔ Internal Marks Entry ✔ ML-Based Risk Prediction ✔ Student Performance Analysis ✔ Exam Timetable Generation ✔ Exam Room Allocation ✔ Invigilator Allocation ✔ Notification System ✔ Performance Charts & Analytics ✔ Excel Report Generation Technologies Used Backend: Python Flask SQLAlchemy SQLite Scikit-Learn (Machine Learning) Frontend: HTML CSS Bootstrap Chart.js Modules Principal Module HOD Module Teacher Module Student Module Coordinator Module ML Prediction The system predicts student academic risk based on: Attendance Percentage Internal Marks Assignment Scores Overall Performance Risk Levels: Low Risk Medium Risk High Risk 🔥 This helps teachers identify students who need additional academic support.