Plant Disease Prediction

[its-kumar-yash]

Overview: Aim is to develop a predictive model for Plant disease using TensorFlow.

Objective: The primary objective of this project is to create a machine-learning model that can accurately predict the disease by analyzing Plant's leaf Image.

I would like this issue to be assigned to me as part of GSSoC'24. Thank you.

[github-actions[bot]]

Thanks for creating the issue

[Devanik21]

Enthusiastic to take on this challenge! Please assign the task to me for GSSOC contribution.

[Dhananjay-nagar]

I am willing to work on this.

I will be making and implementing the Use of------ **CNNs **

Convolutional neural network (CNN) is a type of artificial neural network used primarily for image recognition and processing.

Hefty amount of model training with data will be implemented. I will also try to deploy this as an application using **Flutter **

Here is the flow chart

So @Niketkumardheeryan please assign me this for my GSSOC, 24

[aaradhyasinghgaur]

Hey, @Niketkumardheeryan

Participation role :- Contributor/GSSOC-2024

Approach to this project :- 1.) I will use Keras API and different pre-trained models such as VGG , MobileNet , InceptionV3 and more with higher accuracy for detection in disease in plants using the dataset. 2.) dataset I will use :- https://www.kaggle.com/datasets/rashikrahmanpritom/plant-disease-recognition-dataset. 3.) analyse and make a requirement.txt and ReadMe file for it.

Kindly assign this issue to me

[invigorzz313]

The issue has been assigned on FCFS basis. @its-kumar-yash Do follow the project guidelines for PR.