Ricardo Marin

Facial Recognition Attendance System

A Python application that was developed for a UNIX class in which we had free reign to develop any type of application that we wanted.

Project Demo

Accomplishments

• Used GUI elements to develop the application interface
• Used OpenCV's libraries and haarcascades to develop backend facial detection
• Developed communication with back and front end elements

Tool Website Webscrapper

Developed a Django website for a Software Engineering course that used various websprape methods(Selenium and an API) to display tools to users from real sellers.

Project Demo

Accomplishments

• Front and Backend Web Development
• Used Selenium and APIs to learn how to webscrape and display information
• Learned Django and simple Bootstrap to develop web pages

Mentorship Application

A team project developed using agile methodology. The mentorship app had class custimization and chat integration for mentors and mentees.

Accomplishments

• Agile/Team-Based Web Developement
• Learned how to develop dynamic systems around a database for growing user base
• UI and Backend System Development

Twitch Physical Feedback

A personal project in which I would be physically notified when I would get a follower on Twitch using Python's Selenium and Arduinos.

Accomplishments

• Learned how to combine hardware and software
• Used Selenium to understand HTML scrapping

Web Server Encryption

Built a web server for a Computer Networks class that securely connected a client using OpenSSL and sent an HMAC encrypted message to verify authenticity of messages sent over the server.

Accomplishments

• Learned how to configure Websockets to listen and accept potiential clients
• Established secure client/server connection using certificates
• Sent encrypted messages over a network to ensure authenticity in communication

Naive Bayes Probability Prediction

Computed the probability whether a student would Graduate or Dropout based on a dataset that had every students extraneous circumastances such as MArtial Status and Income.

Accomplishments

• Used Python libraries(e.g pandas and numpy) to train datasets and get a reliable probablity value
• Learned how to find reliable and trusted datasets
• Understanding of basic Naive Bayes Algorithms