Gen 1 Pokemon Classification using Deep Learning

[RajKhanke]

Deep Learning Simplified Repository (Proposing new issue) 🔴 Project Title : Pokémon classification using Deep learning 🔴 Aim : To classify 150 different Pokémon species of gen1 based on 7000+ labelled image dataset 🔴 Dataset : https://www.kaggle.com/datasets/lantian773030/pokemonclassification 🔴 Approach :

Algorithms :-

1) CNN 2) VGG16 3) Inception

📍 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. 🔴🟡 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. ✅ To be Mentioned while taking the issue :

Full name : Raj Khanke GitHub Profile Link : https://github.com/RajKhanke Email ID : rajvkhanke@gmail.com Participant ID (if applicable): - Approach for this Project : CNN What is your participant role? (Mention the Open Source program) GSSoC'24 Contributor Happy Contributing 🚀

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

[github-actions[bot]]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[RajKhanke]

@abhisheks008 please assign this issue to me along with label and level of Gssoc'24

[abhisheks008]

You can start working on it. Assigned this issue to you @RajKhanke