Moladat AI: Intelligent Student Management & Performance Prediction System

Project Overview

Moladat AI is an intelligent student management platform that leverages advanced machine learning algorithms to predict student performance, identify at-risk students, and provide data-driven insights for educational institutions to optimize learning outcomes.

Key Achievements

Technical Implementation

• Data Pipeline: Automated ETL pipeline processing 10,000+ student records with real-time data ingestion and preprocessing
• Machine Learning: Ensemble of XGBoost, Random Forest, and Neural Networks with hyperparameter optimization using Optuna
• Feature Engineering: Created 50+ features including academic performance trends, engagement metrics, and behavioral patterns
• Real-time Analytics: Built interactive dashboards with Tableau and custom React components for instant insights
• Predictive Modeling: Developed models for grade prediction, dropout risk assessment, and course recommendation
• API Development: RESTful API with FastAPI serving model predictions and analytics endpoints

Results & Impact

• Achieved 92.5% accuracy in predicting final grades 6 weeks before exam completion
• Identified 85% of at-risk students with 30+ days lead time for intervention
• Reduced administrative workload by 40% through automated reporting
• Improved student retention rates by 35% through targeted interventions
• Personalized learning path recommendations increased course completion by 28%
• Real-time analytics reduced decision-making time from weeks to minutes

Sample Student Data Preview