jchandrasekaran/StockDeck
A system which analyzes market sentiment of news articles available online and also does a crowd sourcing of these documents and uses these analyses to predict the rise or fall of a stock in the near future.
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Discovered Sep 29, 2026
jchandrasekaran / QuestCon
Question Classification and Context-Sensitive Response Generation Using Statistical Natural Language Processing - A system that gives meaningful and contextual answers to questions. Presented a machine learning model which achieves this goal using various surface features present in a question.
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More from jchandrasekaran
jchandrasekaran/TicTacToe
A game engine with 2 agents which can play Tic Tac Toe against each other. The agents could be Naïve or Thoughtful and will take decisions on their moves depending on the rules of the game. The main aim of the project is to think about strategies that an autonomous agent might use in playing a simple game (Tic Tac Toe), and to build a substrate for subsequent projects in which the use of Knowledge-Based AI techniques for Representation, Reasoning and Learning to improve and expand upon the capabilities of the basic game-playing agents that have been built here are explored.
jchandrasekaran/V2V
C4G Vein-to-Vein (V2V) is a system to monitor blood inventory from collection to transfusion. A collaboration between the Computing For Good (C4G) program at Georgia Tech, the Centers for Diseases Control and Prevention (CDC) and participating countries of Africa (currently working with Zambia, Cameroon).