Closed TechieSamosa closed 3 months ago
Looks good to me! Can you please mention the details accourding to the given chart,
✅ To be Mentioned while taking the issue :
Full name :
GitHub Profile Link :
Email ID :
Approach for this Project :
What is your participant role? (Mention the Open Source program)
Full name: Aditya Khamitkar
GitHub Profile Link: TheNaiveSamosa
Email ID: thenaivesamosa@gmail.com
Participant Role: Contributor for GirlScript Summer of Code
This approach follows a standard workflow for building, training, and evaluating a deep learning model for image classification. It involves loading and preprocessing data, defining the model architecture, training the model, evaluating its performance, and saving it for future use.
if __name__ == '__main__':
block to run the Flask application in debug mode.This approach sets up a Flask application for predicting brain tumor types based on uploaded images. It handles image preprocessing, model prediction, and error handling, providing a user-friendly interface for interacting with the model.
Please do assign this to me.
One more addition, can you make a demonstration video of the application and upload it in the README file. @TheNaiveSamosa
I'm planning to submit a PR with some changes, but I'd appreciate it if you could review the changes first. The required HTML files are quite basic, and as I'm not very familiar with frontend development, it might take me some time to create the demo video. Could I submit the code first and then work on the demo video once the changes are approved?
Regarding the demo video in the README, I understand it's a requirement, but I'd prefer if you could assign it to me officially before I create the video. I'd like to ensure the changes are approved before investing time in creating the demo.
It'll be better if you push the codes after completing the whole work, as a result it'll be considered as level 3
, which will value your time and efforts.
Issue assigned to you @TheNaiveSamosa
Done. Please review the PR.
The project folder structure should be like this,
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
Hope this will give you a clear perspective of the requirement. @TheNaiveSamosa
Brain Tumor Detection Improvement Task
Description
The existing brain tumor detection project has been implemented on a small dataset with suboptimal accuracy and recall rates. The project is also missing an
app.py
file.Proposed Task
app.py
file to create a web application for tumor detection.Please Assign To
@TheNaiveSamosa
Notes
As a beginner, the assigned contributor will attempt to enhance the existing brain tumor detection project.