Multi-modal OCR pipeline optimized for ML training (text, figure, math, tables, diagrams)
Python-based Canvas API LMS Integration
O Foul_Calculator é um aplicativo que calcula automaticamente as faltas escolares em horas, com base na porcentagem de presença do aluno.
An advanced machine learning project for analyzing student performance, utilizing sociodemographic indicators. Hosted on AWS Elastic Beanstalk for real-time predictions and integrated with AWS CodePipeline for continuous integration and deployment.
Automated metadata extraction pipeline for International Large-Scale Assessment (ILSA) documents using RAG-based LLM architecture. 99.2% classification accuracy across 1,622 studies.
Leakage-safe on-time graduation classification with Decision Tree and Random Forest using GridSearchCV and a reproducible scikit-learn pipeline.
Interactive dashboard and educational vulnerability index for Rio Grande do Sul municipalities using Python, Streamlit, geospatial analysis and Generative AI.
AIEd research prototype for transparent instructor-facing learning analytics, learner summaries, review flags, and human-centered educational decision support.
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