README Enhancement - AI Generated Fruits and Real Fruits Classification using Image Processing

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : README Enhancement - AI Generated Fruits and Real Fruits Classification using Image Processing
:red_circle: Aim : The aim is to enhance the README file and make the README file eye pleasing by making it well documented.
:red_circle: README to be enhanced : https://github.com/abhisheks008/DL-Simplified/blob/main/AI%20Generated%20Fruits%20and%20Real%20Fruits%20Classification%20using%20Image%20Processing/Model/readme.md
:red_circle: Template : https://github.com/abhisheks008/DL-Simplified/blob/main/.github/readme_template.md

---

📍 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.

---

:red_circle::yellow_circle: 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.

---

:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Email ID :
• Participant ID (if applicable):
• Approach for this Project :
• What is your participant role? (Mention the Open Source program)

---

Happy Contributing 🚀

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

[SanjanaBankar]

Hello,

After carefully reviewing all the descriptions, I believe I can work on this task.

Full name : Sanjana Bankar

GitHub Profile Link : https://github.com/SanjanaBankar

Email ID: sanjanabankar2003@gmail.com

Participant ID (if applicable): N/A

Approach for this Project:

1. Firstly, I'll focus on enhancing the structure of the README file.
2. I'll organize it into clear sections such as Introduction, Goal, Dataset, Description, Models Used, Libraries Needed, Visualizations, Accuracies, Conclusion, and Contributor Details. Each section will be properly formatted for better readability and understanding.
3. I'll add more visual elements to the README, including images of visualizations such as PCA graphs and accuracy charts. These visuals will help readers grasp the project's findings more easily.
4. In the Dataset section, I'll provide a brief overview of the dataset along with its source and any preprocessing steps applied. I'll also include a link to the dataset for reference.
5. In this section, I'll list all the required libraries along with their versions. This will help readers set up their environment easily to replicate the project.
6. In the Conclusion section, I'll summarize the key findings of the project and discuss its implications. I'll also mention any insights gained from the analysis and potential areas for future improvement.

What is your participant role? I am a Contributor to GirlScript Summer of Code 2024

Please assign me this task under GSSOC'24 tag and in assignees

[abhisheks008]

Issue assigned to you @SanjanaBankar

[SanjanaBankar]

Issue assigned to you @SanjanaBankar

Yes, I'll Proceed with it