AI-Powered Student Performance Prediction System (Dissertation Grade 1 - Distinction)
Designed and implemented an AI-powered student performance prediction system as a dissertation project, using machine learning to predict academic outcomes from structured inputs. Built a Flask REST API with dataset ingestion and a React dashboard to upload data and visualize predictions for lecturers and users. Translated model outputs into personalized study feedback to support learning actions based on predicted results. • Random Forest model integration for forecasting outcomes • CSV ingestion pipeline feeding the prediction workflow • REST API and frontend dashboard enabling data upload and prediction viewing • Recommendation engine generating actionable study feedback from predictions