Open abhisheks008 opened 1 month ago
Hi @abhisheks008 ,
I'm eager to contribute to the Deep Learning Simplified Repository. Considering the ongoing tasks, I propose the following steps to create the web application for AI-generated fruits and real fruits classification:
1.Model Selection: Evaluate the models in the Model folder and choose the one with the highest accuracy for fruit classification.
2.Web Application Development: Develop a user-friendly web application using Flask/React for seamless user interaction.
3.Model Integration: Integrate the selected model into the web application backend to enable classification of uploaded images.
4.User Interface Design: Design an intuitive user interface allowing users to upload images and view classification results.
5.Testing and Validation: Thoroughly test the web application to ensure accurate classification results and validate its performance.
Could you please consider assigning me this task? I'm excited to contribute and make progress on this project.
Thank you!
Sure @Harihara04sudhan. As you can see that the existing project folder is containing the sub-folders as Model
, Dataset
, Images
, you need to create a sub-folder as Web App
. Inside the Web App
folder, you need to put the file (Eg. app.py
) and a README
file. For the README file, please follow the template.
After the deployment of the web app, make a video with the demonstration/working of the app and put that in the Web App/README.md
file as per the template.
Here is the existing project, https://github.com/abhisheks008/DL-Simplified/tree/main/AI%20Generated%20Fruits%20and%20Real%20Fruits%20Classification%20using%20Image%20Processing. No need to create a separate project folder.
I hope you understand what I'm trying to say.
Sure @abhisheks008 ,
Thank you for clarifying the task. I understand the requirements, and I'm ready to proceed with creating the Web App folder and necessary files within the existing project structure. I'll ensure to follow the provided template for the README file and include a video demonstration of the deployed web app.
I'll keep you updated on my progress and let you know once the task is completed.
Thank you.
Issue assigned to you @Harihara04sudhan
Can you assign this issue to me ? @abhisheks008
Can you assign this issue to me ? @abhisheks008
Already assigned to someone.
@abhisheks008 It's been 3 weeks and not active
@abhisheks008 It's been 3 weeks and not active
It's okay, may be he's busy with some other college works. You can check out other existing issues which are having Up for Grabs
tag.
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : [Feature Addition]: Web Application for AI Generated Fruits and Real Fruits Classification :red_circle: Aim : The aim is to create a web application with the best accuracy scored existing model present /developed in the
Model
folder of the project. :red_circle: Dataset : N/A :red_circle: Approach : Try to create a Flask/React app.📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎