Advising App by Canyon GBS is an AI-powered conversational assistant for staff, student success platform, and recruitment CRM designed specifically for colleges and universities to enhance student engagement and drive institutional success.
An AI-driven productivity tracking app built with Python, Streamlit, SQLite, and Machine Learning. It logs and analyzes study sessions, predicts productivity using Random Forest models, and visualizes key insights to help learners improve focus, habits, and overall academic efficiency.
Integrated dashboard: Gradescope + Canvas + Optional Spreadsheet for tracking student progress/success
APA 7 Presentation Template in LaTeX using Beamer, LuaLaTeX, and Biber. Built for accessible, standards-compliant academic slide creation with semantic structure, APA-style citations, and optional presenter notes. Designed for blind and sighted users alike.
Prototype AI assistant supporting online learners through instant course Q&A, contextual feedback, and analytics. Built with FastAPI, Next.js, and Hugging Face to explore responsible, transparent AI in education, improve student success, and enhance course management and development through data-driven insights.
Predict students' dropout and academic success using LightGBM
Project on the factors that influence students academic performance. We derive some very interseting insights from EDA, which allows for a succesfull feature engineering process, and finally a robust classifier for segmenting students into 'Low', 'Medium' or 'High' achieving.
A Streamlit web app that predicts student placement chances using an AdaBoost classifier, based on academic scores, certifications, and soft skills. Integrated with MySQL for result logging.
Data-Driven Admissions in Education: Enhancing Student Success by Matching Profiles to Optimal Academic Paths. This is my first thesis for the Master SIGLIS diploma from the Université de Pau et des Pays de l'Adour.
Student Success Chatbot (ACE Bot) is an AI-powered academic assistant that helps students analyze study materials, generate summaries, and create personalized study plans. It uses machine learning, OCR, and natural language processing to understand PDFs, images, and text offering smart study support, progress tracking, and performance prediction
APA 7 Student Paper Template in LaTeX using LuaLaTeX and Biber. Built for accessible, standards-compliant academic writing with automated multi-format output (PDF, HTML, DOCX).
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