Medicinal Plant Identification

HItesh Joshi

HItesh Joshi

New Delhi, Delhi

1 0
  • 0 Collaborators

This is a Machine Learning project made using Intel's Extension for Tensorflow for the identification of various medicinal plants found near us. It is just a model yet to be deployed on a mobile application. ...learn more

Project status: Under Development

oneAPI, Artificial Intelligence

Groups
IOSC-BVP, Student Developers for oneAPI

Intel Technologies
oneAPI, Intel Python, Other

Docs/PDFs [1]Code Samples [1]

Overview / Usage

The project aims to provide the knowledge of various medicinal plants that are available on the Indian Subcontinent.

It can be used in the area of research for botany and aims to provide the usage of each and every plant that are stored on the database.

Methodology / Approach

  • The collection of dataset containing the raw images of the plants.
  • Splitting of the dataset into two parts: training and testing
  • Normalizing the dataset
  • Creating a Sequential model using data augmentation and **dropout **to reduce overfitting and compiling it with adam optimizer
  • Creating a tflite model

Technologies Used

  • Intel Python
  • Intel Tensorflow
  • Keras
  • Numpy
  • Matplotlib

Documents and Presentations

Repository

https://github.com/HiteshJ14/MedicinalPlantIdentification-using-Intel-Tensorflow/blob/main/Medicinal_Plant_Identification.ipynb

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