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TAMU Datathon 2022

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  • Overview
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  • Participants (219)
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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.

Filter submissions

Sponsor Prizes
Solve the Saw
Solve the Saw

Solved the puzzle using a CNN achieving a 94.98% accuracy on testing data!

Dalton Avery Gage Broberg Patrick Quinn Elizabeth Chun
1 0
Intelligent Puzzle Solver
Intelligent Puzzle Solver

An intelligent and robust program for solving scrambled images. The project utilizes a hybrid approach comprises of feature engineering and machine learning.

Yasir Farrukh Syed Wali Abbas Rizvi Aslı Zeynep Boyar + 1
0 1
CBRE Challenge: Get in Line
CBRE Challenge: Get in Line

One of the biggest issues is parsing image files to an editable format on a computer. This is where our OCR comes in - a practical solution to a widespread issue via optical character recognition.

Skanda Nagaraja Kayla Levy
0 0
Lone Wolf and Cub(s) Solves Puzzles
Lone Wolf and Cub(s) Solves Puzzles

Father of (now) four trying to type in a jupyter notebook while his 1.5 year old is mashing buttons and screaming when told no.

Nam Tran
0 0
A Gassy Visualization Challenge
A Gassy Visualization Challenge

We made some cool discoveries about these gas turbine engines

Wei Chun Benedict Neo + 1
0 0
Justifiable Juxtapositional Jigsaw Justifications
Justifiable Juxtapositional Jigsaw Justifications

Machine Learning! Much Wow! How Puzzling!

joshuajung01 Jung Rishi Phatak
1 0
enigmato
enigmato

Automated Image Patch Re-Ordering

Andrew Hinh Yash Saxena Wei-Chih Huang Nhat B
1 0
scribble
scribble

Comic Book OCR and Text Generation

Andrew Hinh Yash Saxena Wei-Chih Huang Nhat B
1 3
Puzzled? AI is the solution!
Puzzled? AI is the solution!

Jigsaw AI: Using CNN and vital python libraries for solving 2x2 jigsaw puzzles

Sushmit Dasgupta SOUNAK GHOSH Om Mittal Parthiv Sarkar
0 0
Bloomberg Embedding Challenge
Bloomberg Embedding Challenge

Finding out the article title given the embedding

Mengting Teng Anish Karthik Eric Yang Naveen Iyer
0 0
Finding the Mystery Embeddings
Finding the Mystery Embeddings

Oh, we did it just for fun.

Benedict Neo Wei Chun + 1
1 0
Using statistics to unscramble an image
Using statistics to unscramble an image

We used R to unscramble 2x2 images

Jacob Pagel Kennedy Thrash Amanda Tat
0 1
D&D Alignment Predictor
D&D Alignment Predictor

Many people create characters with a certain alignment in mind, but does it show in how they interacts with others? Use a quote to see if their dialogue matches how you picture their personality.

Catherine Chaison Ravi Teja Kandala
0 1
Queue T(esseract)
Queue T(esseract)

Image to text processor that attempts to preserve the order of messages in a conversation.

garshaam Garsha Krish Vora Ryan Kerstetter Will Borchers
0 0
Spam Detector
Spam Detector

Filter out your messages & emails with a simple spam detector

Kyle Java
0 1
Puzzle Solver
Puzzle Solver

Using a strategic neural network model, we created an application that unscrambles a four piece image puzzle into an ordered image.

Devon Kelly Thomas Bolf Kade Singleton ShivPatel20 Patel
0 1
Sequential NN + Heuristic Approach to image puzzle solving.
Sequential NN + Heuristic Approach to image puzzle solving.

A fast algorithmic approach combined with an accurate neutral net approach creates the optimal image puzzle-solving technique boasting over 90% accuracy with a runtime of 30 seconds on 50,000 images.

James Nolan Raaj Patel Andrew Melbourne Roman Gasiorowski
4 0
Team 7 | Puzzle Solver
Team 7 | Puzzle Solver

CNN Jigsaw Puzzle Solver

Nicholas Kasman Akil Manivannan Joseph Chau Ethan Emmanuel
0 1
Co:Dense
Co:Dense

"condenses articles and paragraph into condense sentences"

Ejay Aguirre
0 0
EmbedToText
EmbedToText

After clustering the articles into 11 topics, we find the average embedding of the clusters. We match an embedding to a cluster and predict that the embedding's article chares common words.

Krishna Saxena
0 1
Unscrambling images
Unscrambling images

Web app demonstrating an image unscrambler, built for TAMU datathon 2022.

Simon Xiang
0 1
Chinatown Team
Chinatown Team

We built a machine learning model to predict the order in which picture puzzles were rearranged

At11011 Thomas Yufan Li Albert Ma Xingyu Liu
0 0
Comic Strip Reader using OpenCV and Pytesseract
Comic Strip Reader using OpenCV and Pytesseract

My program reads text from a comic strip using the OpenCV and Pytesseract libraries in Python.

Satyam Jadav ben cui RizLokhandwala Larry Xue
0 1
Get-in-Line Image Parsing & Text Extraction
Get-in-Line Image Parsing & Text Extraction

Get-in-Line is built to extract the conversation sequence from comic images and parse the text

Bansari Paresh Kothari
0 1

49 – 72 of 75

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