Open abhisheks008 opened 10 months ago
Hey, @abhisheks008 would like to work on this project!!!
Please comment out properly as mentioned in the issue template. @Prakashd20
Name: Prakash Dubey github link: https://github.com/Prakashd20 Email id: prakashdubeywork@gmail.com approaching for the Dwoc'24 task oriented programs. would be keen to work with you ongoing projects!!!
I have no idea how DWOC is going to work, got no update in Discord server, neither got a mail. That's why I am putting the DWOC participants on hold.
@abhisheks008 by any chance you get updated about it...Pls do let me know for the same!!
@abhisheks008 by any chance you get updated about it...Pls do let me know for the same!!
Sure, I'll let you know.
Apart from YoloV8, which other models could be used?
Need to check the dataset for that.
Full name : Titiksha Agrawal GitHub Profile Link : https://github.com/AgrawalTitiksha Email ID : agrawaltn2311@gmail.com Approach for this Project : 1.) Image processing 2.) Deep learning algorithms like Faster R-CNN, YOLO, or SSD for object detection What is your participant role? (Mention the Open Source program) @Contributor SWOC S4
Assigned to you @AgrawalTitiksha under SWOC S4
Thankyou @abhisheks008 , I'll complete by that time
Full Name: Sayanta Chowdhury GitHub Profile Link: https://github.com/sayanta28 Email ID: sayanta28@gmail.com
Approach For this Project: I will preprocess the image datasets. Then I will design and train the dataset using DL models such as GRU, LSTM and CNN. I will compare the accuracy scores of those models on the test sets to identify the most effective models. What is your Participant Role? GSSoC'24
Issue assigned to you @sayanta28. You can start working on it.
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Drug Name Detection :red_circle: Aim : The aim of this project is to detect the drug name using deep learning methods. :red_circle: Dataset : https://www.kaggle.com/datasets/pkdarabi/the-drug-name-detection-dataset :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.
📍 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 🚀
All the best. Enjoy your open source journey ahead. 😎