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Hi there 👋

  • 🎓 I recently graduated with a Master's degree in Computer Science focusing on Artificial Intelligence from the University of Houston.
  • 🌱 I'm always looking to learn more, but currently, I'm interested in exploring opportunities in Software/Data Engineering, Machine Learning, Computer Vision, Natural Language Processing, and Big Data Analytics, among others.
  • 👯 I’m looking to collaborate on anything that piques my interest.
  • 💬 Ask me about anything tech-related
  • ⚡ Fun fact: The Firefox logo isn't a fox… It's a red panda!

Hakuna automatata!

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Vedant Vohra's Projects

aroundu icon aroundu

An Android app based on Firebase which finds and notifies users about ongoing and upcoming events around them.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

better-cs229 icon better-cs229

A consolidated, one-page, reference-style rendering of the lecture videos, notes and problem sets from Stanford's popular CS229 course.

conference_dapp icon conference_dapp

Conference ticket booking application built on the Ethereum blockchain.

encyclodb icon encyclodb

Open-source data repository of everything... Almost

endgame icon endgame

A shell script that can be run periodically to scrape bookmyshow.com for a show's availability and uses IFTTT to send a notification when tickets are available. (Named after the movie it was originally written to scrape for, Avengers: Endgame :P)

functions-samples icon functions-samples

Collection of sample apps showcasing popular use cases using Cloud Functions for Firebase

ghetto-spatial-audio icon ghetto-spatial-audio

A quick and dirty way to simulate head tracking spatial audio with Galaxy Buds Pro on Windows using Python

handwrittenrecognitiondeep icon handwrittenrecognitiondeep

A comparative study of a classic CNN model and a CNN-SVM hybrid where the feature matrix learnt by a CNN's convolutional layers are used to train a multi-class SVM classifier.

hold-my-flask icon hold-my-flask

Instantly turn your Python-Flask application into a production-ready docker container.

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