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Muhammad Amer Farooq

FAST · 2020 · i16-0100

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2020

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

Python, Arduino, OpenCV, Keras

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Autonomous Game Playing Robot 
 
 The Autonomous Game Playing Robot is a robot that can autonomously play a board game against 
 a human player with minimal intervention. Currently, we have only focused on the game of chess. 
 The robot applies deep learning models on an overhead camera feed to discern the move made by 
 the human player. This is accomplished by recognizing what changes have occurred on the board 
 between successive camera frames and interpreting them using the rules of the game to identify 
 the exact player move. Once the player move is determined, it is delivered to a chess engine which 
 analyses it in the context of the game to produce a counter move in response. It is then determined 
 at what angles the various motors on the robot need to be moved to maneuver it to complete this 
 counter move. These calculations are then relayed to the Arduino which is responsible for 
 executing the complete maneuver. This process constitutes one turn of the game and goes on 
 repeatedly until side emerges victorious. 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Technology Used: 
 Python, Arduino, OpenCV, Keras 
 Supervisor Name: 
 Dr. Zohaib Iqbal 
 Group Members:   
 Muhammad Amer Farooq (i16-0100)

AI enrichment

Muhammad Amer Farooq is a BSCS graduate who developed an autonomous chess-playing robot using computer vision and deep learning. The project involved processing camera feeds with OpenCV and Keras to detect moves, coordinating with a chess engine, and controlling Arduino-based motors for physical execution.

Skills (AI)

["Python", "Arduino", "OpenCV", "Keras", "Deep Learning", "Computer Vision", "Robotics", "Embedded Systems"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdf
From job #23 page 185
Created: 1778144016