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Develop and deploy a machine learning (ML) model that can detect eye diseases and disorders such as cataract, eyecancer, etc. Using a dataset of labelled sample images to train the model and generate the risponse.

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Netra-Rakshak

Develop and deploy a machine learning (ML) model that can detect eye diseases and disorders such as cataract, eyecancer, etc. Using a dataset of labelled sample images to train the model and generate the risponse.

Try it out: Netra Rakshak

Technology

Python: Fastai, Kaggle Notebook, Kaggle Datasets

Deployement: nbdev, Gradio, Hugging Face Spaces Git & GitHub

Datasets

  • Various datasets from medical hospitals, Kaggle Datasets, Manual Data Collection.

Challenges with datasets: Most of the data available on internet is limited to the western world so, we decided to tackle it by collecting images manually.

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Develop and deploy a machine learning (ML) model that can detect eye diseases and disorders such as cataract, eyecancer, etc. Using a dataset of labelled sample images to train the model and generate the risponse.

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