Model Evaluation Jobs

Spam Message Detection Using NLP & Machine Learning I built a machine learning tool that uses NLP to label text messages as Spam or Not Spam. The tool works with the SMS Spam Collection Dataset from the UCI Machine Learning Repository. Key Features Used a labelled set of spam and normal SMS messages. Did text cleaning and TF‑IDF Vectorization to turn words into numbers. Ran the Multinomial Naive Bayes model to predict labels. Separated the data into training and test parts to check performance. Checked outcomes with accuracy, precision, recall and F1‑score. Made a Streamlit app so you can try your own messages. Loaded the model and TF‑IDF tool with Joblib. Technologies Used Python | NLP | Pandas | Scikit‑learn TF‑IDF | Multinomial Naive Bayes | Streamlit Joblib Dataset SMS Spa...

I# AI-Powered Lab Assistant and Companionship Platform Development ## Project Overview I am looking to develop a unique, end-to-end AI-powered platform with a primary focus on companionship and innovative user interactions. The goal is to create something distinctive that has not been widely explored in the current market, with the potential to expand its capabilities through additional features in the future. The primary objective is to develop a reliable and innovative AI model that supports meaningful companionship experiences. As part of the platform's longer-term vision, there may also be an option to introduce an adult-oriented component as an optional add-on for users who are of legal age and wish to explore their personal interests in a safe, responsible, and legally ...