Recode-Hive / machine-learning-repos

A curated list of awesome machine learning frameworks, libraries and software (by language). I
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Dog Breeds Classification #236

Open vishuhere opened 3 weeks ago

vishuhere commented 3 weeks ago

🔴 Project Title: Web App for Dog Breeds Classification

🔴 Aim : Develop a user-friendly web application that allows users to upload images of dogs and receive predictions on the breed of the dog using a pre-trained machine learning model.

🔴 Approach : Create a responsive UI for image upload and result display. Set up a back-end with APIs to handle requests. Integrate a pre-trained ML model for predictions. Deploy using Docker on a cloud platform. Ensure security and monitor performance.

🔴 Participant role: GSsoC'24 Contributor

Screenshot 2024-06-08 at 12 47 02 PM Screenshot 2024-06-08 at 12 47 17 PM
github-actions[bot] commented 3 weeks ago

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

Note: This repo is for beginners to learn and start with Opensource we won't accept more than 10 issues from a single person, This restriction applies to Gssoc project which has a similar kind of adding folder files, Points will be reduced when we find Spam.

I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.

You can also check our CONTRIBUTING.md for guidelines on contributing to this project.

vishuhere commented 3 weeks ago

@sanjay-kv I had already worked on this model and want to add it in your repository kindly assign me this issue under GSsoC label.

Sa7yaC commented 3 weeks ago

I have experience in image classification and CV , can you please assign it to me .

vishuhere commented 2 weeks ago

I have experience in image classification and CV , can you please assign it to me .

You have to raise the issue by yourself. Watch a YouTube video on how to contribute to open source @Sa7yaC