Aadit Kapoor (aaditkapoor)

aaditkapoor

Geek Repo

Company:Student

Location:Earth

Home Page:www.aaditkapoor.com

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Aadit Kapoor's repositories

Fruit-Classifier-PyTorch

A Machine Learning model that can detect fruit images.

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SigNet

SigNet (Detecting Signature Similarity using Machine Learning/Deep Learning): Is this the end of Human Forensic Analysis?

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TwilioCovidTracker

A COVID Tracker that informs people COVID stats through SMS using the Twillio API

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attackonlvis

A phishing attack done to the school, to extract teacher's password, and in turn get the question papers.

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Citation-Needed

Need Citation: A way to fact check medical/health related claims using GPT

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ipl-match-predictor

A web app that predicts the winning team in a simulated IPL match. We use the 2017 IPL match dataset.

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PDFExtract

A Go Command Line App to get all the source URLS from an arxiv pdf.

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PyData-Global-2022-Talk

My PyData Global 2022 Talk

Rate-My-Professor-Sentiment-Analysis

Tired of reading the reviews of each and every professor? We bring you the solution to your problem. Our aim is to use Machine Learning to classify each review of a particular professor as POSITIVE (1) or NEGATIVE(0). This is an app that performs sentiment analysis on each review of a given professor and then counts the number of positives and negatives and neutrals to get a tentative classified response.

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GoBenchmark

A Go Package to benchmark code snippets.

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What-To-Dine

"Freshman 15" is an expression commonly used in the United States that refers to an amount of weight gained during a student's first year at college. To solve this I built an app that automatically presents the user with a customized menu catered to their data points. The app analyses the Dining Commons menu at SJSU to provide students with a customized diet plan. What to Dine automatically presents you with a customized menu catered to your data points and most importantly the app works Exclusively for SJSU Students.

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aaditkapoor.github.io

Personal Website

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AI-Experiments

A collection of all my AI Experiments.

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CellGPT

Cell VQA (Visual Question and Answering system) for faster report generation.

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CS146

CS146: Data Structures at SJSU (Algorithms By Robert Sedgewick et al)

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CS161_Breadsticks

A Kahoot Inspired Web App.

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DebateAnalysis

Vice Presidential and Presidential Debate Analysis using Data Science Debate Analysis using Data Science: Using YouTube Comments to find the true intent of voters

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Dog-Classifier

A Machine Learning Model that can detect dogs. (Street dogs in New Delhi)

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Dustbin-Finder-75-

A project that promotes swaach bharat abhiyaan, it helps to locate near by dustbins in your locality. Only 75% is complete.

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Facebook-Likes-Model

Why is your Facebook Data so valuable? A method to predict humans traits through Facebook Likes.

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icdata

icdata or "I see data" is a set of programs or code snippets that enable a data scientist/analyst to perform most of the heavy lifted data wrangling tasks in a more concise way.

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MeSHClassify

NLM MeSH terms provides a useful way to map/index research articles, books, audiobooks, citations, and a lot more. Each search query to PubMed corresponds to queries to a MeSH term. Each MeSH term is mapped to a lot of “entry terms”. Medline indexes index each article by reading and understanding the concept. These indexers are highly trained in life sciences and often have an advanced degrees.

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OmniNet

OmniNet: If Ben's Omnitrix had a better Machine Learning/Artificial Intelligence inbuilt?

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random-code-experiments

Random experiments with code. (Includes coding problems, concept testing, applying a concept etc)

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Randomizer

CS 160 Project

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Swift-Delhi-Talk-Chapter11

Slides for the Swift Delhi Talk Chapter 11

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TORZ

A torrent collector (www.torz.org) that captures best torrents from sites like piratesbay, kickass etc. Live at: www.torz.org

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UMed-Source

UMed Source

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What-s-My-Schedule

A Facebook Messenger Bot that can help you remind your daily tasks and a personal touch. The messenger bot allows the user to quickly add any schedule using the Facebook Messenger App enabling to notify the user of their daily tasks. The app utilizes the Facebook Send API to send and receive messages using the Facebook Platform.

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