BP Monitor Reading using DL

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : BP Monitor Reading :red_circle: Aim : Create a DL model, which will monitor the reading given in the images and idenitfy them. :red_circle: Dataset : https://www.kaggle.com/datasets/dataclusterlabs/bp-monitor-reading-medical-device-images :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

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📍 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.

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: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.

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: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)

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Happy Contributing 🚀

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

[rafiya2003]

I would like to work on this, frankly I don't know much but I will learn and do. I am a newbie(first year UG student).

[abhisheks008]

Firstly try to grab the machine learning part, then start working on the deep learning methods. Taking a full fledged project as an issue will not help you, you need to know the basics atleast. Otherwise it will be really hectic for you to start on.

Prepare yourself and then try to work on the issues. @rafiya2003

[Manoj-Routhu]

I would like to work this I have a decent experience in Deep learning. Could you please assign me this. Full name : Routhu Manoj Sitaram GitHub Profile Link : https://github.com/Manoj-Routhu Email ID : [email protected] Participant ID (if applicable): 236b34fc-58f6-4cf4-b040-02a7a95f701f Approach for this Project : Perform data preprocessing and using the CNN model or pre trained model select based on the precission model. What is your participant role? (Mention the Open Source program)- ssoc

[abhisheks008]

Try to implement 2-3 deep learning techniques for solving this issue and compare them to find out the best fitted model with the help of the accuracy scores.

Issue assigned to you @Manoj-Routhu

[umairullah0905]

Can i use python libraries like pytesseract or anyother libraries or do i have to make a custom neural network model

[abhisheks008]

Can i use python libraries like pytesseract or anyother libraries or do i have to make a custom neural network model

Both these techniques are good enough for this project, but custom neural network will be better.

[itspallavi20]

I would like to work on this project as it is both interesting and involves the application of deep learning, a field I have studied extensively and am passionate about. Full name: Pallavi Patil GitHub Profile Link: https://github.com/itspallavi20 Email ID: [email protected] What is your participant role? (Mention the Open-Source program): Contributor @gssoc-24(GirlScript Summer of Code-2024)(Please add the level-1/2/3 label also if the issue is assigned to me.) Approach for this Project: I will create a structured project directory to organize images, dataset, models, and dependencies. First, I will perform Exploratory Data Analysis (EDA) to understand the dataset and implement multiple deep learning models: Custom CNN, Transfer Learning with ResNet50, and potentially an RNN with CNN features. Each model will be trained and evaluated for accuracy. Finally, I will document the findings in a README file and list all dependencies in requirements.txt. The best model will be identified based on performance comparison.

[abhisheks008]

Hi @itspallavi20 assigned this issue to you.