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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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Plant Disease Prediction #527

Open its-kumar-yash opened 1 month ago

its-kumar-yash commented 1 month ago

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] commented 1 month ago

Thanks for creating the issue

Devanik21 commented 1 month ago

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

Dhananjay-nagar commented 1 month ago

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 chartimages.png

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

aaradhyasinghgaur commented 1 month ago

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 commented 1 month ago

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