[Project Addition]: Plant Disease Prediction using DL

[Seersha9802]

Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : Plant disease prediction

🔴 Aim :Plant Disease Prediction with Image Classification

🔴 Dataset :https://www.kaggle.com/datasets/abdallahalidev/plantvillage-dataset

🔴 Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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🔴🟡 Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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✅ To be Mentioned while taking the issue :

• Full name : Seersha Samikshya
• GitHub Profile Link : https://github.com/Seersha9802
• Email ID : [email protected]
• Approach for this Project :
• i. Import the dataset
• ii.Data Preprocessing , Cleaning and Preparation
• iii.Vectorization
• iv.Model building, Training( using CNN)
• v.Model Evaluation
• What is your participant role? (Mention the Open Source program): GSSoc 24

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[Seersha9802]

@abhisheks008 can you please assign this to me under GSSOC 24

[abhisheks008]

What are the CNN architectures you are planning to implement for this project? Can you be specific on this as you need to implement 2-3 architecturs/models for this dataset.

[Seersha9802]

Will be using pretrained and custom cnn models for classification (pre-trained: resent50, vgg16, inception)
@abhisheks008

[abhisheks008]

Cool go ahead @Seersha9802

[Seersha9802]

May I know what contributions are marked as level 3?
@abhisheks008

[abhisheks008]

If you can implement 4-5 models for this project, it'll be considered as level 3. Based on the quality of the contribution, labels are assigned here in this repo.