An analysis of the systemic impact, on the Web, of AI systems, and in particular ones based on Machine Learning models, and the role that Web standardization may play in managing that impact

AIJURIST is an AI-powered legal predictor that uses advanced machine learning algorithms to predict the chances of winning a legal case based on provided case descriptions and evidence.

An automated, collaborative ethical bias auditing platform for ML models. Demo:https://youtu.be/8mE_vLP9TYc

Fin-AI-lytics is an AI financial advisor for stocks and portfolio management, built with Python-Streamlit, Firestore, ML models, and APIs like YFinance and Alphavantage. It provides a user-friendly walkthrough for beginners, real-time stock analysis, portfolio optimization, and interactive financial tools with data visualizations.

An AI driven platform which can analyze and predict crop diseases and provide future medication recommendation for the disease

IT Bootcamp Final Exam Project: Delve into the world of data science with this exam. Explore consumer dispute data, apply machine learning models, and analyze sentiment to solve real-world financial service challenges.

An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.

This study develops a CNN-LSTM model for Human Activity Recognition using accelerometer and gyroscope data. Achieving over 95% accuracy, it combines LSTM's temporal capabilities with CNN's spatial features.

Student performance prediction models

Proyecto para el Hackathon Innovation Challenge Microsoft, utilizando datos públicos para mejorar la gestión del conocimiento en salud global. Facilitamos la colaboración interinstitucional y decisiones basadas en evidencia entre agencias, empresas y organizaciones.

Data Preprocessing, Loan Status Classification