This is where I will be adding and working on projects and scripts in my free time to build a portfolio.
1. Connect4
A simple Connect 4 game.
2. Drug Interaction
Uses requests to access the NIH interaction API, cross references
interactions of specified drug, and outputs all interactions into a
new text file.
3. Hangman
A simple hangman game that generates a random word from a text file
and gives the user three tries to guess it.
4. Basketball Predictor
Allows the user to input two NBA teams and will output several bar
graphs comparing team stats and a pie char predicting who would win
between the two. teams based on stats.
5. Robot Fight
A rudimentary robot fight simulation containing two classes.
6. Server/Client
A basic client and server chat network.
7. Data Challenge '21
Refer to the Data Challenge Section.
8. Keylogger
A keylogged built using pynput. Also cleans the file from its raw format.
Will add email capabilities in the future and more slickness.
9. Google Play Store Scraper
A scraper built using Selenium and the 'google-play-scraper' pyp package.
The program will use Selenium to scrape each app ID and then using
a for-loop will feed each ID to the google-play-scraper package which will
scrape each Title, Developer Email, and Company Name for each
app found on the Google Play Store. Outputs the results into an Excel sheet.
10. LinkedIn Bot
Using Selenium this bot will log in to a LinkedIn account using the provided
credenials from 'linkedin.txt'. Then, based on the search entry from the Tkinter
GUI will search a job role through the 'People' filter of LinkedIn.
It will then automatically connect with all possible people fitting that criteria
and send them a custom note. For example, typing 'Senior Java Developer' will
search for every person you can connect to that has that description in their profile
and automatically send them a message and connect with them.
A collection of labs and projects I completed in my CMSC106 course.
This is where all my worthy JavaScript projects are showcased. They are subject to constant updates.
1. CrimeTracker
A webapp that uses Google Maps' API and Prince George's county
crime data to pinpoint crime around a given address. Can be
filtered based on crimes. Has bugs.
Data Challenge is an annual week-long data exploration event at the University of Maryland hosted by The College of Information Studies.
During the week, UMD students will gain analytical experience by solving challenging problems exploring novel datasets, build technical aptitude integrating datasets to create multidisciplinary knowledge, and obtain real-world team-building experience. This week long distributed format allows for sufficient time to evaluate, formulate a question about the dataset, and conduct dataset integration, analysis, and results preparation.
More information can be found at: https://datachallenge.ischool.umd.edu
Our group of four undergraduates won the award for "Best Expression of Results" out of more than 80 teams varied between masters and PhD students.
1. Countries
This folder contains CSV files of all the provided countries given by the API after being run through our data scraping program "get_all_country_data.py"
2. DataScraping
In order to analyze the data we first had to scrape it from the
API. Using a series of loops we called the API the necessary amount
to collect the data on each indicator related to the survey and
each country that participated
3. Graphing
Once we had all the necessary information cleaned up and ready to
manipulate, we created several programs that could graph the data
in certain ways we deemed necessary for analysis.
4. Indicators
This folder contains CSV files of all the provided indicators given
by the API after being run through our data scraping program
"get_all_country_data.py"
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent