Aplicação web onde você consegue treinar um modelo de Machine Learning para classificar uma pessoa como do sexo masculino ou feminino com base em seu nome.

A simple reader with GUI, for pickle files.

Classify tweets as positive or negative using the Naive Bayes classifier with NLTK. This project processes tweets from the `twitter_samples` dataset, extracts features, and trains a sentiment analysis model.

This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).

A simple Discord bot to manage your grocery list. Add, list, remove, and clear items using chat commands.

EquiInsight is a specialised user-friendly platform made for investors, analysts, and financial professionals who specialise in equity markets. It is intended to make information retrieval simple. To get pertinent insights from the stock market and financial sphere, users can ask queries and input the URLs of articles.

"Empower your messaging experience with our spam SMS classifier! Instantly distinguish between spam and legitimate messages, helping you prioritize and manage your inbox effectively."

Create a comprehensive full-stack project that utilizes Artificial Intelligence (AI) to predict rainfall and provides a user-friendly interface for users to interact with. The project aims to leverage machine learning algorithms and data visualization techniques to provide accurate rain predictions, helping individuals and organizations make inform

It is a realtime Face Detection and Recognition Model developed using python.

This is an ML project to predict the AQI based on the input fields

CourseQuery AI is a comprehensive LLM project built on Langchain and Google Generative AI. For the e-learning company, we are developing a Q&A system. Thousands of students use the email or Discord server to ask questions. Students will be able to ask questions and receive answers via this system's streamlit-based user interface.

Iris flower classification using decision tree classifier

This is a Python program that scrapes quotes from a website using BeautifulSoup and request library. The scraper extracts quotes along with their author and tags, and stores them in a pickle file. This project serves as an example of how to use web scraping to extract information from a website, save it in a structure and make a quiz from the data.

PDFAssist is an innovative tool designed to empower users from all walks of life—researchers, students, and everyday individuals—by providing them with a seamless way to interact with their PDF documents. Whether you're conducting in-depth research, studying for exams, or simply need quick access to information within a PDF.

This project allows investors to see historical and current data of the stocks in the NASDAQ and NYSE to determine if they should invest. Data is updated automatically weekly on Sunday to reflect new data from recent earnings reports.