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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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Insect classifier & model deployment #327

Open pratishthaa opened 2 years ago

pratishthaa commented 2 years ago

https://www.kaggle.com/rtlmhjbn/ip02-dataset

shivam-s16 commented 2 years ago

I am interested in this work in GSSoC'22.Could you please assign this to me.

urvisinghal commented 2 years ago

Can you assign this to me please?

ishaanv1206 commented 6 months ago

Hi @pratishthaa please assign the issue to me, i have previously worked over similar dataset for butterfly species with 100 classes, i will create a web application for it too

JahnaviDhanaSri commented 1 month ago

I’m keen to contribute to the Insect Classifier and Model Deployment project. This project offers a great chance to apply machine learning techniques in a practical context, helping with biodiversity studies and pest control efforts.

Here’s my proposed approach:

Data Collection: Gather a diverse dataset of insect images for training, ensuring various species and conditions are represented. Model Development: Develop a convolutional neural network (CNN) model using frameworks like TensorFlow or PyTorch to classify the insects. Model Evaluation: Implement robust evaluation metrics to assess model performance, such as accuracy, precision, and recall. Deployment: Deploy the trained model using platforms like Flask or FastAPI, providing an easy interface for users to classify insects through image uploads. Documentation: Create comprehensive documentation detailing setup, usage instructions, and examples. Could you please assign this issue to me