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MARCELO CLARO LARANJEIRA's Projects

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

geo-eye icon geo-eye

An image classifier to identify different types of minerals

gpt-summarizer icon gpt-summarizer

A Python script that utilizes OpenAI's GPT-3.5-turbo model to process and summarize long-form text files.

iniciador-de-interface-web-para-gera-o-de-texto icon iniciador-de-interface-web-para-gera-o-de-texto

GPT O projeto descrito envolve a criação de uma interface de usuário web usando a biblioteca Gradio para interagir com Modelos de Linguagem de Grande Escala. Este projeto tem um potencial significativo para estudos e aplicações em diversas áreas.

kaggle-autism icon kaggle-autism

Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder

langchain-ask-pdf icon langchain-ask-pdf

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

lgpd.br icon lgpd.br

Morfologia Lei Geral de Proteção de Dados (LGPD): banco de dados para facilitar pesquisas

local-llms-analyse-finance icon local-llms-analyse-finance

In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.

machine_learnig icon machine_learnig

Notebook contendo o código utilizado para prever os resultados dos jogos do Campeonato Brasileiro

medical-predictions-streamlit-web-app icon medical-predictions-streamlit-web-app

This is a Medical Prediction App which can be used to predict the current disease state of any human from any part of the world. This includes 3 main type of diseases - Covid-19, Diabetes, Heart Disease

mental-illness-prediction icon mental-illness-prediction

A sole research carried out to evaluate markers responsible for the rise in mental health illness among medical students in the University of Ilorin. Built and deployed the model, by creating a simple diagnostic app using streamlit.

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