AI-powered student intelligence system for proactive intervention and analytics.

Machine learning and NLP-based prototype for clustering student behavioral and perceptual patterns in blended learning and generating personalized recommendation reports.

Machine Learning model to predict MBA admission chances based on academic & profile features, with EDA, model comparison, and interactive insights.

Interactive Tableau dashboard analyzing employability trends, internships, projects, skills, and career readiness across 5,000 students.

A machine learning project that predicts student performance based on input features and generates personalized feedback using a smart dashboard.

An end-to-end educational data analytics dashboard built for the Kayfa AI & Data Analytics Internship. Processes messy, multi-source dataset to surface actionable behavioral and academic insights via a MongoDB-backed Streamlit application.

AI-powered academic guidance system that predicts student GPA and recommends personalized courses using collaborative filtering, Jaccard similarity, and PageRank algorithms. Built with Python ML backend, Node.js API, and web frontend for real-time academic planning assistance.

A statistical programming exercise on student AI behaviour featuring machine learning with R and visualizations with a website via qmd.

AI platform for predicting university student dropout risk | LightGBM | SHAP | Streamlit | AUC 93.1%

AI-powered teaching preparation platform — multi-agent session planning, smart quizzes, analytics, and student learning tools built with FastAPI, React, and LangGraph.

Power BI business intelligence app analysing Udemy course completion rates, NPS performance, and learner engagement using DAX, KPI cards, scatter plots, and interactive dashboards to identify courses requiring improvement.

AI-powered system for predicting student burnout, academic stress, and dropout risk using machine learning.

AI-powered student mentoring system using hybrid ML (K-Means) and rule-based decision intelligence to detect risks, generate interventions, and automate mentor assignment.

Predicts undergraduate student graduation outcomes using Random Forest, XGBoost, and Logistic Regression with SHAP interpretability and Sankey diagrams to identify at-risk students early.

End-to-End Education Analytics Platform for Student Performance, Engagement and Academic Intelligence using Python and Data Analytics.

End-to-end student learning analytics project using Python, Pandas, SQL, SQLite, and Tableau to analyze student outcomes, engagement, assessment scores, and submission behavior.

Explainable Academic Early Warning System (Local Web App)

AI-powered K-12 student analytics platform. Uses ML to predict behavior patterns, identify at-risk students early, and generate personalized learning recommendations. Built with Streamlit & scikit-learn.

Production Power BI analytics platform for Kent State University - 6,000+ student records, 4 data sources, ETL pipelines, DAX modeling. Recognized with KSU Creative Innovator Award 2026.

EDA of the AMCAT job dataset to uncover trends in salary, academic performance, skills, and job locations using Python and data visualization tools.