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Absolute monster of a heuristic that shreds the problem
Solution for the "TAMU Datathon Challenge: Puzzle Solver"
Solves the puzzle using and algorithmic approach by comparing average pixel values. 92.25% acc on the entire training dataset :).
Created a full stack website with login and registration pages and an interactive chatbot that sends ASL translations and learning activities using CockroachDB, Twilio API, and Co:here.
A toxicity detection bot for Discord
Image detection for CBRE Challenge
Live streaming services tend to produce toxic environments- which is a shame since the live, virtual face-to-face technology could be used for positivity; That is FriendlyLive's purpose.
This project combines the twilio api with the cohere NLP api to generate timer based texts for the user.
We took five mystery-embedded articles and used metrics to compare the embeddings. Then we sorted the comparisons and gauged the meaning of the articles based on the different metric outputs.
Our classifier provides a one word description for various food reviews found in the Amazon Fine Food Reviews Dataset. We also group similar news articles and try to guess mystery news articles.
Have you ever looked at an embedding and wondered what it's preimage is? Then, you've come to the right place! This project uses the embedding model provided by Bloomberg to classify news articles.
The built model utilizes principles of Deep Learning and Computer vision to detect and classify objects in illustrations.
Have you ever wanted to read a comic book but didn't want to look at all of those distracting images? Comic Convert will not only convert the comic into ordered sentences but also read it out loud!
OCR Comic Strip Image Parser & Text Extractor
An OCR application that extracts text from and sequentially orders images. Developed with a refined GUI which features a responsive web layout. Adapts to new fonts with augmented accuracy.
Our Gas turbine visualizer acts as the first step towards a monitoring sustainable energy future by understanding and visualizing where today's energy system's worst problems exist.
Visualized data by engine, plant, and customer to look for trends and correlation in Python Pandas and Microsoft Power BI
We have analyzed and visualized gas turbine data at a power site level using Python, R, and Google Earth.
Based on a given set of embedding data points of different articles from CNN and the federal press release, we guess what the mysterious articles are about and created an article classifier.
To provide client Spiffy with relevant and useful information about their plant using data visualization.
We find the top key words from each article, find each embedding's "nearest neighbors", and use them to guess each article's contents. The general classifier is based on a custom Bayes/GMM estimator.
This code can take a scrambled image split into 4 quadrants and predict its correct order with ~75% accuracy.
News message decode using word embedded system and IMBD movie review classifer
The objective of this project was to compute large sets of data to derive any meaningful relationships between two variables in order to improvement regarding thermal efficiency.
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