Spatial Renewable Power Plant Locator Tool in GIS
Spatial Renewable Power Plant Locator Tool in GIS

A spatial tool was developed using ArcGIS and ArcPy framework to identify optimal locations of renewable energy power plants.

Click here to learn more.

Bi-objective algorithm for modal choice
Bi-objective algorithm for modal choice

A bi-objective algorithm that optimizes time and money is developed for the modal choices in the San Francisco Bay Area region. Here, the users choose between driving and BART during the peak and non-peak hours. The model also estimates the cost and emissions of their choices.

Click here to learn more.

Sudoku Computer Player
Sudoku Computer Player

This was developed as part of Udacity's Artificial Intelligence nanodegree program. I implemented the 'naked twin' strategy and diagonal sudoku solver for a given sudoku grid. 

Here is the link to the Github repository.

Adversarial Player for Isolation Board Game
Adversarial Player for Isolation Board Game

This was developed as part of the Udacity's Artificial Intelligence nanodegree program. Here, I implement Minimax algorithm with and without alpha-beta pruning to identify the next move for the computer player.

Click here to see more details on the code.

A "tournament" was given as the part of the exercise to test the computer player with different types of adversaries. I developed three kinds of heuristics for the computer player. See here for the analysis of them and how they can differ to predict the end-game.

Spatial Renewable Power Plant Locator Tool in GIS
Bi-objective algorithm for modal choice
Sudoku Computer Player
Adversarial Player for Isolation Board Game
Spatial Renewable Power Plant Locator Tool in GIS

A spatial tool was developed using ArcGIS and ArcPy framework to identify optimal locations of renewable energy power plants.

Click here to learn more.

Bi-objective algorithm for modal choice

A bi-objective algorithm that optimizes time and money is developed for the modal choices in the San Francisco Bay Area region. Here, the users choose between driving and BART during the peak and non-peak hours. The model also estimates the cost and emissions of their choices.

Click here to learn more.

Sudoku Computer Player

This was developed as part of Udacity's Artificial Intelligence nanodegree program. I implemented the 'naked twin' strategy and diagonal sudoku solver for a given sudoku grid. 

Here is the link to the Github repository.

Adversarial Player for Isolation Board Game

This was developed as part of the Udacity's Artificial Intelligence nanodegree program. Here, I implement Minimax algorithm with and without alpha-beta pruning to identify the next move for the computer player.

Click here to see more details on the code.

A "tournament" was given as the part of the exercise to test the computer player with different types of adversaries. I developed three kinds of heuristics for the computer player. See here for the analysis of them and how they can differ to predict the end-game.

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