{Alexandre Pinto}

Academic Portfolio



This place shows some of the academic projects that I have done or have been part of:

Default Credit Card Prediction:

  • Type: Academic Work
  • Description:
    • Description:
        This project was carried out in the context of the Pattern Recognition course. The goal of this project was to develop classifiers to predict if a given client would be able to pay (or not) its credit card in the next month. The project followed the various steps of a typical machine learning pipeline (data preprocessing, feature selection/reduction, classification and evaluation).
  • Features:
    • Dataset Loading
    • Feature Assessment/Visualization
    • Preprocessing
    • Feature Selection/Reduction
    • Classification/Evaluation
  • Technologies used: Python 2.7 + scikit-learn + seaborn + PyQt5
Source code

Expert Contact:

  • Type: Joint Academic Work
  • Description:
      This project was carried out in the context of the Software Project Management course. The objective of the project was to build a new way of communication between the nurses and patients with breast cancer during chemotherapy sessions. This project was a partnership between the research team working at Institute of Health and Care Sciences of the University of Gotemburg and the University of Coimbra and was conducted by a multidisciplinary team.
  • Role in the team: Developer
  • Technologies used: Struts2, Hibernate Generic D.A.O. Framework, Bootstrap, Git

Image editing:

  • Type: Joint Academic Work
  • Features:
    • Grey tones
    • Change basic colors
    • Horizontal and vertical reflections
    • Negative image
    • Rotations
    • Cutting and Bordering
    • Hide and read hidden messages
    • Encrypt and decrypt images
  • Technologies used: Python 2.6 + PIL(Python Imaging Library)
Source code

Tic Tac Toe game:

  • Type: Joint Academic Work
  • Features:
    • Day/Night/Fog environments
    • Lights
    • Animations
    • Free movements
    • Rotations
    • Realistic sky (built with Perlin Noise) and lots of sand
  • Technologies used: C, OpenGL 1.0 API
Source code

Library management system:

  • Type: Joint Academic Work
  • Features:
    • Request/Return books
    • Make/Cancel Reservations
    • Show outdated deliveries
    • Show existing books/books details
    • Rotations
    • Show current requests/reservations
  • Technologies used: C
Source code

LoveSick Box game:

  • Type: Joint Academic Work
  • Features:
    • Puzzle game
    • History based game (Inspired by the movie "Eternal Sunshine of the Spotless Mind")
    • More than 15 levels
    • Chapter selection
    • Awesome scenarios
    • Soundtrack
  • Technologies used: Flash ActionScript 3.0
Play it here!

Temperature Variation on a surface along the time:

  • Type: Joint Academic Work
  • Technologies used: C, IPC: Semaphores, shared memory, mapped memory
Source code

qC Compiler:

  • Type: Joint Academic Work
  • Features:
    • Lexical analyser
    • Error handling
    • Syntax Analyzer (Abstract Syntax Tree)
    • Semantic Analyzer (Symbol Table + Error Handler)
  • Technologies used: C, Lex & Yacc
Source code

SocialMore: A distributed Social Network

  • Type: Joint Academic Work
  • Features:
    • Create Posts
    • Create Delayed Posts
    • Edit Posts
    • Reply to Posts
    • Delete Posts
    • Add Pictures
    • Delete Pictures
    • Send Direct Messages
    • Fail Over Solution
  • Technologies used: Java SE 6, Java TCP/UDP Sockets, Java RMI

Web SocialMore: A web-based version of SocialMore

  • Type: Joint Academic Work
  • Features:
    • SocialMore Features
    • Web Chat
    • Integration with Facebook
  • Technologies used: Java SE 6, Java TCP/UDP Sockets, Java RMI, JSP, Java Servlets, JavaBeans, Websockets, REST API