Subrata Das (@Subratad080808)
github

Subratad080808

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  • Stars
    star
    2
  • Global Rank 2,219,069 (Top 77 %)
  • Followers 1
  • Following 2
  • Registered about 5 years ago
  • Most used languages
    Java
         50.0 %
    Python
         50.0 %
  • Location ๐Ÿ‡ง๐Ÿ‡ฉ Bangladesh
  • Country Total Rank 9,352
  • Country Ranking
    Python
         2,067
    Java
         2,360

Top repositories

1

WEED-remover-Code-only

Weed Removal functionalities and movement of machine are programmed through "Arduino UNO Boardโ€. It is programmed in "Python" and โ€œIntegrated Cโ€ programming language. The wheels are moved with the help of DC Motors and power is generated from Solar panels. Weed identification is being implemented with the help of "Machine Learning". "Weed Removal Machine" can identify weeds among the plants in the crop. It helps in cutting the grass with precision. It identifies the weeds in the crop and plucks them in order to avoid the damage to crop. While moving, it identifies the obstacles and turns around from the obstacles. The power required to run the machine is generated through the "Solar panel" fixed over the machine.
Java
1
star
2

Eye-Gaze-Estimation

This project has been implemented in three phases. At first, the face is identified in the environment and a border is made around the face. Secondly, the eye position is detected in the face. Finally, the eye gaze direction is estimated. This eye position is compared with the dataset and got a result of movement of eye direction. Predefined functions are implemented according to the necessity. The accuracy and the identification speed depend on the test dataset, training data set and the algorithm that is used for the project. Our proposed algorithm has outperformed all other state of the art results for Eye-Chimera dataset. The overall accuracies of this project are 90.21% and 99.19% for EyeChimera and HPEG datasets respectively. For EGDC, our proposed algorithm finds 86.93% accuracy.
Python
1
star