IoT Components Analysis using DL

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : IoT Components Analysis using DL :red_circle: Aim : The aim is to analyze the components using deep learning methods. :red_circle: Dataset : https://www.kaggle.com/datasets/yashpatawarijain/iot-components-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. 😎

[tushtithakur]

Hi , I'm excited to contribute to this project. Could you please assign me? Looking forward to getting started! @abhisheks008

Full name : Tushti Thakur GitHub Profile Link : https://github.com/tushtithakur Email ID : [email protected] Approach for this Project : Implement different deep learning algorithms using the dataset, evaluate it and compare performance. What is your participant role? GSSoC 2024

[abhisheks008]

Hi @tushtithakur wait for the induction session to complete by today evening, after that issues will be assigned to the contributors.

[tushtithakur]

@abhisheks008 Sure sir, I'll wait for the induction session to be completed. Thank you for the update!

[Subhranil2004]

Hi @abhisheks008 , I am willing to contribute to this issue! Please assign me to it.

• Full name : Subhranil Nandy
• GitHub Profile Link : https://github.com/Subhranil2004
• Email ID : [email protected]
• Approach for this Project : I would like to do EDA, some image preprocessing and apply different DL(CNN) techniques for model creation and evaluation.
• What is your participant role? GSSoC 2024 Contributor

[chelsi-k]

Hi, I'd like to work on this issue. Full name : Chelsi Kothari GitHub Profile Link : https://github.com/chelsi-k Email ID : [email protected] Participant ID (if applicable): Approach for this Project :

1. Leveraging pre-trained models like ResNet or EfficientNet to improve accuracy and reduce training time.
2. Using YOLO to detect different objects, and annotate them using bounding boxes. What is your participant role? GSSoC 2024 Contributor

[abhisheks008]

Hi @Subhranil2004 and @chelsi-k I have gone through both of your approaches. I found out that Chelsi's approach is bit brief than the other one. Hence going with @chelsi-k.

Issue assigned to you @chelsi-k

@Subhranil2004 you can check out other issues present here in the repo. If you find all the issues are alloted, wait for some time, I'll create some new issues. I hope you understand.

[Subhranil2004]

Hi @Subhranil2004 and @chelsi-k I have gone through both of your approaches. I found out that Chelsi's approach is bit brief than the other one. Hence going with @chelsi-k.

Issue assigned to you @chelsi-k

@Subhranil2004 you can check out other issues present here in the repo. If you find all the issues are alloted, wait for some time, I'll create some new issues. I hope you understand.

I could have elaborated about my approach if you would have asked...anyways, I'll check the other issues.

[abhisheks008]

Hi @Subhranil2004 and @chelsi-k I have gone through both of your approaches. I found out that Chelsi's approach is bit brief than the other one. Hence going with @chelsi-k. Issue assigned to you @chelsi-k @Subhranil2004 you can check out other issues present here in the repo. If you find all the issues are alloted, wait for some time, I'll create some new issues. I hope you understand.

I could have elaborated about my approach if you would have asked...anyways, I'll check the other issues.

Sorry for that mate. After all it's a competition, you should've represented your approach in a better way in the first place.