Closed abhisheks008 closed 1 month ago
Here is the project structure to be followed for this Web App creation issue,
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
Do not remove the existing project files, just create a separate folder Web App in the existing project folder, and put your deployment there.
Full name :Arka Dutta GitHub Profile Link :https://github.com/ArkaDutta-Maker Email ID :arka08652@gmail.com Participant ID (if applicable): Approach for this Project : Will use the already present model and create a flask backend api with a frontend react application What is your participant role? GSSOC'24 contributor @abhisheks008 can I work on this?
Hi @ArkaDutta-Maker you can go ahead! Assigning this issue to you.
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : [Feature Addition]: Web App for Artwork Image Recognition :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 - Artwork Image Recognition :red_circle: Dataset : N/A :red_circle: Approach : Try to create a Flask/React app.
:red_circle: Reference Project for Implementation : Brain Tumor Detection
π 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 π
All the best. Enjoy your open source journey ahead. π