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amulet1989

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In this project, we created a chatbot acting as a financial advisor enable to answer questions related to public companies listed in NASDAQ. The bot uses a conversational Agent to coordinate chains of thoughts inserted in ChatGPT through its API, and has access to a database with around ~10.000 public financial documents.

Microservices-architecture-using-Docker-for-Image-classification-with-CNN

This project develops a solution that can automatically classify images into over 1000 different categories using a Convolutional Neural Network (CNN) implemented in Tensorflow. Our solution consists of a Web UI and a Python Flask API that serves the CNN. The Web UI allows users to upload an image and receive the predicted class for that image.

Python

GBManalizer

This is an algorithm developed in Matlab to perform fully automatic segmentation of human Glioblastoma multiforme in Magnetic Resonance images. Pre-processed T1, T1C, T2 and Flair MRI modalities are required as described in the BraTS 2020 schedule.

MATLAB

Redis_producer-consumer_example

You can see this code example to understand how to use Redis message queue and hash table to communicate two services.

Jupyter Notebook

GBManalizerApp

Glioblastoma multiforme (GBM) is an aggressive brain tumor with a poor prognosis and high recurrence rate. GBManalizer, a Windows application, is introduced to automatically segment GBM and its components in magnetic resonance imaging (MRI) images. It utilizes preprocessing techniques and a neural network to achieve 83.9% accuracy.

MATLAB