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Welcome to My GitHub Profile!

About Me

I'm Abhishek Satpathy, a Computer Science student at the University of Virginia!

Personal Coursework

Currently, I'm working on:

My Favorite Projects!

  • Description: Extract and analyze symptoms and treatments from clinical text documents using cTAKES and SciSpaCy. Supports datasets from MayoClinic, ODEMSA, and Wikipedia.
  • Technologies Used: Python, Bash, ScispaCy (and spaCy), cTAKES, pandas.
  • Description: A full-stack web application designed to be a one-stop shop for travel safety information.
  • Technologies Used: pandas, sqlite, Python, Scrapy, Beautiful Soup, Next.js, and TailwindCSS.
  • Demo: Devpost
  • Description: A set of generalizable scripts that can be used to validate the performance of medical NER models like ScispaCy and MetaMap.
  • Technologies Used: pandas, openpyxl, Python, spaCy.
  • Demo: Presentation

Honorable Mentions

  • Trivia app: Built with React.js, check out the live demo!
  • Spark: A full-stack web application built with Next.js, FastAPI, and MongoDB to match high school students with their dream college mentor. (Honorable mention due to incomplete feature development)
  • CSO Toy-ISA Translator A little project I made to help out some of my classmates on CS 2130 assignments. It's not very technically impressive, but it felt nice to make something and hear from random people that they used it (it's also my first star 🤩).

Contact Me

Reach out to me at my email if you have any cool ideas or collaborations!

Abhishek Satpathy's Projects

ai-lab icon ai-lab

A fun little project where I try to build various AI models from scratch. Eventually I might switch over to using PyTorch in this repo, but the main focus is learning.

movie-script-analyzer icon movie-script-analyzer

The provided Python program consists of three files: DataAnalyzer.py, main.py, and WebScraper.py. These files work together to perform sentiment analysis and word analysis on a movie or TV show script fetched from a given URL.

ner-model-analysis-for-ems icon ner-model-analysis-for-ems

A set of Python scripts intended for use to analyze the performance of SciSpacy and MetaMap at various settings on a EMS transcription dataset.

percsim icon percsim

Uses weighted quick union path compression in order to determine the constant p* (p being site vacancy probability) at which with sufficiently large grid size n x n the percolation probability increases dramatically.

school-dashboard icon school-dashboard

A simple school dashboard built with React with CRUD functionality for students, teachers, and events.

spark icon spark

A web app designed to utilize Next.js, Python, FastAPI, Postgre SQL, and NLP to match underpriviledged high schoolers to mentors at their dream colleges.

travel-safe icon travel-safe

Integration of MongoDB, Django and React.js to make a travel safety web application.

travel-safe-wics icon travel-safe-wics

A travel safety web tool that integrates Django, SQLite, and Next.js in order to produce a fully functioning application.

trivia-app icon trivia-app

A basic Trivia App built with React.js and Material UI.

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