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I'm a Professional Mistake Avoider, a.k.a. Strategic Advisor.

AI customer support chatbot built with Python, Anthropic SDK, and Streamlit

This project is a Streamlit application designed to predict the effectiveness of a drug based on its name and the condition it treats. The application uses an XGBoost model to make these predictions. Note: The predictions are based on a simplified model and should be taken with caution. The model uses limited information and random values for many

A serverless pantry manager built with AWS Lambda and Streamlit that tracks item expiry dates and suggests recipes to reduce food waste.

AI-powered Predictive Maintenance System using Random Forest, Industrial IoT sensor data, and Streamlit.

AI-powered legal document assistant using NLP and local LLMs with Ollama to summarize, analyze, and simplify legal documents through an interactive Streamlit interface.

This project is a web application that allows users to upload a PDF resume downloaded from LinkedIn, extract the text, and generate a professional HTML resume using OpenAI's API. The app is built with Streamlit for the user interface, PyPDF2 for PDF text extraction, and the OpenAI API for generating the HTML format.

Application for automation and optimization of the distribution of t-shirts at the Juegos Caribe of the Havana University.

Growth Mindset Project by using python, uv and streamlit .This is Data dashboard project where you can upload csv file preview the data , data summary, filter the data, Plot the data

Production-ready Machine Learning platform for customer churn prediction using Python, Scikit-learn, Streamlit, Docker, and GitHub Actions CI/CD.

ML-powered athlete injury risk prediction · XGBoost · Gender-specific models · 750k rows · Live dashboard

A web app to recommend similar anime based on your input.

Employee Attrition Prediction System using Machine Learning and Streamlit

A Customer Churn Prediction System using machine learning (XGBoost) to classify telecom customers as churn or non-churn. Includes data preprocessing, feature engineering, PCA, and model deployment via Flask, Django, and Streamlit for real-time predictions.