AI-powered education infrastructure platform for assessment, grading, OCR, analytics, and learning intelligence.
Python-based learning analytics platform for student performance benchmarking, trend analysis, question-level diagnostics, weakness detection, and time-efficiency analysis.
Power BI dashboard analysing marketing ROI, admissions performance, lead conversion efficiency, and program growth opportunities in higher education.
JEE Question Taxonomy & Metadata Governance System — Standardized and governed large-scale JEE Main & Advanced question-bank metadata by identifying duplicate, misspelled, mismatched, and incorrectly tagged Topic/Chapter/Subtopic records. Established a controlled taxonomy with unique codes,mapped existing question IDs to standardized classification
AI-powered educational analytics platform built with Google Cloud's Agent Development Kit (ADK) using multi-agent RAG system to analyze student report cards and generate personalized intervention recommendations
EduPro Dashboard is an interactive educational analytics platform designed to monitor student performance, course engagement, attendance trends, and learning outcomes.
BankrollIQ is a Prediction Intelligence Platform featuring Prediction IQ™, Real-Time Market Intelligence™, confidence scoring, portfolio analysis, probability modeling, scenario planning, allocation intelligence, and educational analytics tools designed to help users make better decisions through data-driven insights.
Predicting school dropout risk using Machine Learning, Python and Educational Analytics. Includes data preprocessing, SMOTE, feature selection, Logistic Regression and model evaluation based on a peer-reviewed research project.
A React-based dashboard application for analyzing and visualizing educational data with interactive charts. Features dynamic filtering by country, camp, and school, with detailed point data analysis and lessons summary visualization. Built with TypeScript, Redux, and Chart.js.
Comprehensive Tableau dashboard analyzing U.S. higher education landscape using IPEDS data - enrollment patterns, graduation rates, regional demographics, and institutional performance metrics
Machine learning project for predicting student academic outcomes using demographic, behavioral, and academic features, with 5-fold cross-validation and Random Forest achieving 93.2% mean accuracy.
A complete ML system to predict student academic performance using UCI dataset. Includes regression (grade prediction) + classification (pass/fail), sklearn Pipelines, GridSearchCV, XGBoost, SVM, KNN, and a live Streamlit web app.
End-to-end deep learning pipeline for analyzing and modeling student academic performance, featuring EDA, preprocessing, regression, classification, and evaluation using TensorFlow/Keras.
End-to-end analysis of student withdrawal & performance (32K records) using SQL, Python, and an interactive Excel dashboard.
Student segmentation and academic risk prediction using K-Means clustering, PCA, SMOTE, and deep learning on 12K+ student records. Identifies at-risk students and predicts course outcomes using behavioral and academic data.
Ce projet est une application web d'analyse de données éducatives conçue pour aider la direction d'un établissement d'enseignement secondaire à analyser les performances scolaires de ses élèves de terminale, à identifier des profils comportementaux homogènes et à suggérer des orientations scolaires (Scientifique vs Littéraire) à l'aide de technique
A Multi-Hop Retrieval Augmented Generation (RAG) system with Multi-Agent LangGraph workflow for intelligent educational analytics. Features real-time workflow visualization, Postgres vector embeddings, and checkpoint-based resumption for robust query processing.
To associate your repository with the educational-analytics topic, visit your repo's landing page and select "manage topics."