Project information

  • Category: Python (Machine-Learning)
  • Project date: 10 June-Present, 2021
  • Project URL: github_link

Generative adversarial network based portrait building system for criminal identification

Crime scene in India has been drastically drafted along with this also the identification of the culprit is a big problem. Which results in many unsolved cases in crime department of India. So, here we propose a system where A complete human-like sketch can be generated with the appropriate inputs and this can also be altered based on the different inputs from the user. This interpretation of the Portrait Building System has been published in well known journal named IJIERT in the year 2021.

Project information

  • Category: Python (Machine-Learning)
  • Project date: Aug-Sept, 2020
  • Project URL: github_link

[ FARMER WELLNESS PROJECT ] Classification Different Classes of Seeds

In this classification we used Functions are Numpy, Pandas, Keras, Tensorflow, sklearn, Dence, sequential and activation function. We trained the model by using basic training set method (Neural Network) with “RELU” activation function for input and hidden layers and we use “SOFTMAX” activation function for output layer, then after we compile the neural network by “Categorical_Crossentropy” method. Finally we observed that Training Set method gives accuracy of 92.38% during the classification process..