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YM: Machine Learning Projects

PCA Algorithm for MNIST (Mar 2023)

Using PCA (principal component analysis), we find the principal components for the MNIST dataset.

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K-Means Digit Classification (Mar 2023)

In this project, I classify digits using K-Means clustering.

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A* Algorithm Swarms (Mar 2023)

Used A* algorithm to guide 15 bots in exploring an entire map.

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CAPTCHA Classification: Solving BONGO Puzzles (Feb 2023)

I wrote a function that would solve four different CAPTCHA (BONGO) generators. Tools that I used for this were OpenCV, NumPy, and Scikit-learn.

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MNIST Nearest Neighbors Classification (Feb 2023)

Using a database with a set of 5000 training images, and 500 test images of hand-written numerals (each image being 28x28 pixels with intensity values ranging from 0-255), I trained a nearest neighbor classifier. I utilized the Euclidean distance metric and tested it on the test database.

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Robot Traversal: Shannon's Mouse with Python (Jan 2023)

Simulated Shannon's mouse (robot successfully traversing a maze without colliding with any objects) using NumPy and Matplotlib.

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Hate Speech NLP Analysis (Dec 2022)

Detecting and analyzing hate speech on videos relating to sexism on a right-wing platform (NLTK, scikit-learn, pandas). Used TF-IDF vectorization and a decision tree classifer.

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California Wage Data Analysis (Nov 2022)

My team of 5 students and I conducted California employment and wage analysis on data from the past decade.

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Stochastic Gradient Descent with Assembly (LEGv8) (June 2021)

Stochastic Gradient Descent model written with assembly LEGv8 architecture.

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Swaying Attention: Drowsiness Detection for Online Learning (Mar 2021)

Swaying Attention tracks students dozing off and reminds them to stay focused. To achieve this we used OpenCV, D-lib, Arduino-C, and an ESP32 board.

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