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Edgex is a Gen Z-powered AI mentorship movement — not just code. We help students navigate emotional chaos and career confusion with smart, empathetic AI. Built with passion, heart, and vision. 💬🎯 Join the mission. Be the reason someone finds clarity.
UEDU: Mental health distress signal detection in student writing using psycholinguistic NLP. 40 features, XGBoost, Glass Box explainable engine. 100% local, no cloud AI needed.
🌟 Open source platform untuk career guidance & student wellbeing dengan AI mentor - Membantu siswa Indonesia menemukan passion, curhat dengan aman, dan Guru BK mendapat data insights untuk lingkungan sekolah yang lebih baik.
🎓 AI-powered early warning system detecting struggling university students weeks before crisis — XGBoost (AUC 0.975) + Claude Sonnet multi-agent + SHAP explainability + Streamlit dashboard
🧠 ML web app predicting student depression risks. Showcases a complete pipeline: baseline modeling, advanced data preprocessing, and optimized Logistic Regression.
StudyBee is an intelligent multimodal learning assistant that combines RAG-based document Q&A, automatic quiz generation, adaptive difficulty control, and real-time emotion recognition (facial, speech, physiological, and text) to deliver a personalized and emotionally-aware study experience.
An interactive Student Well-Being & Study Habits Dashboard built using Dash, Plotly, and Pandas.This dashboard analyzes survey data from students to explore how factors such as stress, sleep, motivation, and study habits affect academic performance (GPA).Built for my Data Science coursework.
MindBloom Voice is an AI-powered mental insight platform that detects early burnout, tracks emotional trends, and provides actionable guidance through a privacy-first, voice-enabled web experience.
Calmify – An AI-powered emotional chatbot that supports student mental well-being by offering a safe space to express emotions, receive thoughtful responses, and get stress management guidance.
Predictive modeling of student depression determinants. Features an end-to-end pipeline: rigorous data preprocessing, statistical visualization (EDA), and classification via supervised Machine Learning (Scikit-Learn).
This project was developed within the PIDEV - 3rd Year Engineering Program at Esprit School of Engineering (2025-2026). PI_3A43 (MindCare) is a desktop application for student mental health support, featuring appointment management, patient files, AI-based moderation/insights, and online consultation integration.