abhisheks008 / DL-Simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
https://quine.sh/repo/abhisheks008-DL-Simplified-499023976
MIT License
334 stars 296 forks source link

[Feature Addition]: Web App for Dog Breeds Classification #551

Closed abhisheks008 closed 1 month ago

abhisheks008 commented 2 months ago

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : [Feature Addition]: Web App for Dog Breeds 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. Here is the project folder - Dog Breeds Classification

:red_circle: Dataset : N/A

:red_circle: Approach : Try to create a Flask/React app.

:red_circle: Reference Project for Implementation : Brain Tumor Detection


📍 Follow the Guidelines to Contribute in the Project :


: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. 😎

Himanshu8850 commented 2 months ago

hi @abhisheks008 , please assign this issue to me. Full name : Himanshu Choudhary GitHub Profile Link : https://github.com/Himanshu8850 Email ID : 1130himanshu@gmaill.com Participant ID (if applicable): Approach for this Project : I will be making a simple react based web app with functionality of loading images and sending them to the model and getting the predicted otuput diplayed on the app. What is your participant role? I am participating as contributor through gssoc' 24.

abhisheks008 commented 2 months ago

Cool. Make sure you use the existing project's model, dataset for implementing the web app as this an addition to the existing project structure. Here is the existing project, Dog Breeds Classification.

Follow this project structure,

Project Dummy
|- Dataset
  |- dataset.csv
  |- README.md
|- Images
  |- img1.png
  |- img2.png
  |- img3.png
|- Model
  |- project_dummy.ipynb
  |- README.md
|- Web App
  |- app.py
  |- templates
  |- demo.mp4
  |- README.md
|- requirements.txt

Here is a project which already deployed using the Web App, Brain Tumor Detection

Looking forward to hearing from you @Himanshu8850

saikrishna823 commented 2 months ago

hi, @abhisheks008 ,could you please assign issue to me.I have experience of working with Machine Learning and Deep Learning. Full Name:Mule Sai Krishna Reddy Github Profile Link:https://github.com/saikrishna823 Email ID:20131a05f4@gvpce.ac.in Participant ID (if applicable): Approach for this Project : I will be making a flask based web application that allows the user to upload the image and sends the image to model for prediction. What is your participant role? I am participating as contributor through gssoc' 24.

Himanshu8850 commented 2 months ago

Alright, @abhisheks008 I have seen the Brain tumor detection app. So, I will be keeping minimalistic design and will add some extra dog breed info to be displayed on upload.

abhisheks008 commented 2 months ago

Cool. Looking forward to have another web application for this repo. Assigned to you @Himanshu8850

Hi @saikrishna823 thanks for your interest, but talks were already there with the assigned contributor. You can check out other issues present here in this repo.

saikrishna823 commented 2 months ago

Okay

Himanshu8850 commented 2 months ago

[Uploading final.webm…]() hey @abhisheks008 ,does this look good enough.

Himanshu8850 commented 2 months ago

final.webm

abhisheks008 commented 2 months ago

I liked it. Really appreciated your efforts.