vitoriacarvalho Goto Github PK

• 🎓 I have a degree in Information Systems from UFPI.
• 👩‍💻 My area of expertise is Computer Vision and Natural Language Processing.
• 💜 I love working in these areas, discovering techniques I didn't know, solving real problems with technology and being very happy with the resolution of a bug 😆.
• 🙆‍♀️ I really enjoy working in teams, because the exchange of knowledge makes us evolve much more.

• I participated in Scientific Initiation projects, where I contributed to the development of approaches that apply Computer Vision and Image Processing in the context of medical imaging;
• I was an intern at a lawtech, where I worked with Natural Language Processing to create solutions for optimization in the analysis of legal documents;
• My most recent job was as head of Computer Vision, where I contributed to the development of image processing solutions, as well as in the planning and monitoring of the software team's tasks.

Since then, I have focused on improving my knowledge in these areas. I am available for work, want to learn more and join a team 💜🚀

Last year I wrote my first Medium article about a project using OpenCV, FaceNet and MTCNN. I invite you to read it:

• Detecção de Máscara em Python Usando OpenCV e Deep Learning - Parte 1/2;
• Detecção de Máscara em Python Usando OpenCV e Deep Learning - Parte 2/2;
• Repository: MaskDetection.

Other projects you can find here in my GitHub repositories:

• WebScrapingJuris: a web scraping application, in python, for automating the process of consulting laws.
• TCC3-CapsNet: implementation of an approach for classification of retinal images into glaucomatous and normal using CapsNet architecture. Team project.
• CanvasMarking: a simple application for manually segmenting images, using HTML 5 Canvas.
• ResumeAI: application, still under development, for text recognition in images and pdfs of resumes. Team project.
• VisaoComputacional: repository with the works developed by me during the Computer Vision course at the University.

During the Scientific Initiation, I participated in the production of some papers:

• COVID-index: A texture-based approach to classifying lung lesions based on CT images;
• A Capsule Network-based for identification of Glaucoma in retinal images;
• Detecção de Máscara em Python Usando OpenCV e Deep Learning;
• Descritores de Textura Aplicados à Caracterização e Classificação de Lesões de Pele;
• Técnicas de Extração de Atributos Aplicadas ao Processamento de Imagens.

Made with 💜 by Vitória Carvalho