AI-powered student academic risk prediction system using Machine Learning, FastAPI, Random Forest, Feature Engineering, and an interactive web interface.
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Updated
Jun 30, 2026 - Jupyter Notebook
AI-powered student academic risk prediction system using Machine Learning, FastAPI, Random Forest, Feature Engineering, and an interactive web interface.
A machine learning-based educational technology system that predicts student academic outcomes through three specialized models: final exam mark prediction, dropout risk assessment, and pass/fail forecasting. Built with Python, Flask, and scikit-learn to help educational institutions identify at-risk students and implement timely interventions.
AI-powered academic automation platform built with PostgreSQL, PGVector, FastAPI, React, and adaptive Hybrid + Agentic RAG for grounded conversational querying, semantic retrieval, intelligent agents, analytics workflows, and large-scale academic data processing.
Unlock academic insights with EduPredict, a Python-based machine learning tool achieving up to 90% accuracy. Train, evaluate, and deploy models locally with ease. Built for educators, students, and researchers aiming to forecast academic success.
Python-based learning analytics platform for student performance benchmarking, trend analysis, question-level diagnostics, weakness detection, and time-efficiency analysis.
Publication network analyser - co-author graphs, citation trends, topic clusters from Google Scholar
Interactive Student Performance Analytics Dashboard built with Power BI, featuring academic KPIs, performance trends, student insights, and data-driven visual analysis.
Flutter + Firebase student insight dashboard with faculty/student portals, WPI tracking, academic metrics, and engagement visualization.
A Streamlit platform that models academic research fields as market-like systems, with academic indices, AI interpretation, counterfactual analysis, and epistemic audits. 学术股市:用市场模型观察学术场的跨学科分析平台。
Implementasi Business Intelligence Berbasis Data Warehouse untuk Academic Capacity Analytics Menggunakan Data Agregat PDDikti (Studi Kasus: Universitas Siliwangi)
Academic analytics platform used at the University of Nariño for institutional KPI monitoring, accreditation support and decision-making.
Tracks faculty academic activities, automates API score calculation based on UGC guidelines, and provides dashboards and reports for performance evaluation.
AI-powered student mentoring platform with risk prediction, explainable AI, personality profiling, RAG chatbot, and real-time communication.
Academic management platform with retrieval-grounded AI assistance and student risk prediction. FastAPI + React. Honest ML evaluation, WCAG 2.2 AA, per-resource authorization.
Python tool for generating realistic student performance data and comprehensive academic analytics using Pandas and NumPy
Minimal Firebase-powered GPA tracker with email/password auth, manual Firestore saves, semester analytics, and a clean dock-based interface
A full-stack web application that predicts student academic performance using key indicators like SGPA, CGPA, attendance, and engagement metrics, with role-based dashboards for students, teachers, and administrators.
An end-to-end ML system for early detection of student disengagement, burnout, and withdrawal risk using academic and behavioral data.
A production-ready MySQL project with 9 relational tables, 400+ records, and 20+ analytics queries for tracking student performance, attendance, and learning outcomes in educational institutions.
Academic Insights provides interactive academic statistics and analyses for students and educators, utilizing modern web technologies. It serves as an essential tool for monitoring educational performance and progress.
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