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A tool for teachers that predicts each student's final exam performance from attendance, internal marks, and assignment history, and flags students who need early support.
Problem Statement
Teachers often identify struggling students only after final results, when it is too late to help.
Objectives
Collect attendance and internal assessment data
Train regression and classification models
Identify at-risk students early in the semester
Give teachers a simple report view
Modules
Data Entry
Upload or enter marks, attendance, and assignment records.
Prediction Model
Models that predict final grade bands.
At-Risk Alerts
Lists of students needing attention with the main reasons.
Reports
Class-level analytics and printable student reports.
Expected Output
A web app where a teacher uploads class data and sees predicted grades and a list of at-risk students.
Future Scope
Personalised study recommendations, parent notifications, and integration with college ERP systems.