DanteTrb's repositories
DanteTrb.github.io
Personal AI portfolio and academic website | clinical ML, gait analysis, and explainable AI.
SpastiGait-xAI
Next-generation explainable AI integrating EMG and kinematics to identify muscle drivers of stiff-knee gait in Hereditary Spastic Paraparesis.
causal-LEDD-falls
Analysis of Parkinson’s patients to explore how dopaminergic medication dose (LEDD) affects gait and fall risk. Combining causal inference (IPTW) with machine learning (XGBoost, logistic models), we reveal that high LEDD improves some gait metrics but increases fall risk, highlighting a clinical trade-off.
fall-risk-predictor
A fullstack AI-powered web application to assess fall risk in patients with Parkinson's Disease.
Prodromal_Parkinson
SynthAI-PD: Explainable Gait-Based Model for Prodromal Parkinsonism Detection Using Wearable Sensors
ParkinsonBiomech_XAI_GAN
Discovering biomechanical phenotypes in Parkinson’s disease using GANs and explainable AI
ai-consulting
Personal website for AI consulting in healthcare and neurotechnology | explainable ML, predictive analytics, and generative models. Built with React + Tailwind.
rehab-intelligence
An AI-driven project for rehabilitation medicine: predictive modeling, patient clustering, and clinical trend analysis for Policlinico Italia.
awesome-healthcare
Curated list of awesome open source healthcare software, libraries, tools and resources.
intelligent-trading-bot
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
FallSentinel-AI
AI system for fall risk triage and real-time fall prediction from IMU sensor.
NeuroCompare-XAI
NeuroCompare-XAI: An Explainable AI Agent for Similarity-Based Profiling in Neurological Gait Disorders
TinyML-for-Gait-Event-Detection-in-Parkinson-s
TinyFog-CNN is a lightweight 1D Convolutional Neural Network (CNN) model designed for real-time detection of Freezing of Gait (FoG) in Parkinson’s Disease patients using ankle-worn IMU sensors. Built for TinyML deployment with TensorFlow Lite.
free-programming-books
:books: Freely available programming books
forecast-my-happiness
A full-stack ML project combining XGBoost regression, SHAP explainability, and web technologies (Django + React) to forecast and interpret happiness scores worldwide. Includes a custom API and interactive frontend focused on Italy (2019–2024).
Predict-my-house-price
ML-powered API to predict California house prices using Flask and Docker
diabetes-readmission-dbt
Predictive analytics on diabetic patient readmissions using dbt, DuckDB and Python – with explainability and clustering.
LoanExplain-XAI
Interpretable ML pipeline for loan risk classification with SHAP(SHAPSetPlot) and clustering insights
CXR-BERT
ViT vs ResNet on Chest X-ray classification with explainability analysis.
Alcaraz-vs-Sinner-Next_goat
Who will be the next GOAT? 🐐 A machine learning-driven forecast of ATP titles 2025–2034 for Sinner and Alcaraz.
Amazon-Recommendation-App
🛍️ An interactive Streamlit app to explore, cluster, and generate smart recommendations on Amazon products. Includes preprocessing, KMeans clustering, visualizations (boxplots, t-SNE), and a data-driven suggestion system for sellers.
Buffett_Evaluator
ML + SHAP + Streamlit: A Buffett-style stock evaluator built for explainable financial decisions.
Streamlit_USAdult_Income
Model to predict the US per capita income threshold through data analysis generated with CTGAN+XGBoost