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Ishani Chakraborty's Projects

automatic-essay-grader icon automatic-essay-grader

Machine learning project that attempts to grade essays written by non-native English speakers on a scale from 1 - 7.

automatic-essay-scoring icon automatic-essay-scoring

Created a web app that can automatically score essays. The grading model was trained using HP Essays Dataset from Kaggle. Used Long Short Term Memory (LSTM) network and machine learning algorithms to train model. WebApp was created using Flask framework.

babylonian-pi icon babylonian-pi

Simple C++ program that calculates the values of PI (recognized as π) using the Babylonian algorithm.

data-structures-algorithms icon data-structures-algorithms

COMPSCI 187: Data Structures and Algorithms. Topics include arrays, linked lists, trees, graphs, dynamic storage allocation, recursion, and sorting.

dsp icon dsp

A collection of digital signal processing projects.

fat_ml icon fat_ml

Experiments in FAT ML using the Bank Marketing Data Set of Moro et al.

government_corpus icon government_corpus

A collection of government texts and scrapers to get them, starting with US Presidential Executive Orders.

intellivo icon intellivo

Flask web application that facilitates intellectual conversation between users with different backgrounds with a KMeans cluster matching algorithm to help mitigate any bias seen in social media echo chambers.

isbn-processing icon isbn-processing

C++ Final Project: This program prompts the user to enter the first 9 digits of a book ISBN code and displays the complete 10-digit ISBN code including all 0 with a final summary report of all validInputs

machine-learning-hyperparameter-optimization-app icon machine-learning-hyperparameter-optimization-app

Machine Learning App using the StreamLit web framework that aims to eliminate the barrier in understanding machine learning model building by streamlining the process thereby allowing non-technical users to harness the power of machine learning through data visualization and input customization

malaria_detection icon malaria_detection

Trained my first machine learning model using a public dataset of uninfected and parasitized cells images to detect malaria in humans with a low margin of error. Created a recursive model architecture with the following algorithm: image processing, grayscale conversion, contour detection, get areas of the 5 largest contours, and finally find the average of tumor area size of parasitized cells.

memory_game icon memory_game

a Light & Sound Memory game to apply for CodePath's SITE Program.

models icon models

Models and examples built with TensorFlow

movie-search-review icon movie-search-review

Basic Swift movie review & search application, that populates results based on a specific search / query and routes to the IMDB page for movie review visibility.

number-evaluator icon number-evaluator

This program reads the file numbers.txt and calculates the smallest and largest values along with the average. The file is then processed again to count the number of values above and below the average. Numbers.txt can be modified for testing purposes

pagerank icon pagerank

Implements the PageRank algorithm in Java on the WikiCorpus dataset

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