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Welcome to my GitHub profile! 👋

I am CSE student and research scholar, I have worked on the tech stacks that are mentioned here and also contributed to research journals that are mention here. I am interested in both Development Field and Machine Learning Field

Tech Domain

Machine Learning Deep Learning Backend Development Data Science

Tech Stack

Python HTML CSS3 JavaScript Flask Java PHP Django jQuery MySQL SQLite Netlify PythonAnywhere SAP Fiori CloudFoundry

Libraries

Keras PyTorch NumPy Pandas Scikit-learn OpenCV

Research Contributions

Taylor and Francis Springer Crossref ORCID ResearchGate

GitHub Stats

Hacktober Fest Badges

An image of @prithsray's Holopin badges, which is a link to view their full Holopin profile

Prithwish Raymahapatra's Projects

cervical-fracture-detection icon cervical-fracture-detection

A VGG16 model perfectly tunned to classify the X-ray images of normal cervical spine and Fractured cervical spine in a human body. This Model has trained on 3800 image and tested on 400 images, and has an Accuracy - 92% ,precision - 82% , Recall - 100% , f1-score -92% and AUC - 93% .

devstar icon devstar

Maximize efficiency and productivity with our free online developer toolkit. Streamline workflows and unlock your full potential with our user-friendly platform.

django-backend-developer-assignment icon django-backend-developer-assignment

This assignment aims to create a functional Django-based system for vendor management, integrating aspects of data handling, API development, and basic performance metric calculations.

hacktoberfest-for-all icon hacktoberfest-for-all

HacktobeFest 2023 is live. Make your 4 Pull Request here ! Add your own projects, UI/UX Design, Blogs or improve the projects in the repository. Make sure to add your own work.

hacktoberfest2023_ icon hacktoberfest2023_

Make your first PR! Add your profile, a blog, or any program under any language (hello-world program to anything) or update the existing one. Just make sure to add the file under the correct directory. Happy open source contributing!

lung-cancer-detection icon lung-cancer-detection

Fined Tunned VGG16 Model used for classifying Chest cancer images into 4 classes Using Tranfer Learning Method with and accuracy of 94% and Auc of 94% at epoch 12

machine-learning-projects icon machine-learning-projects

This repository compiles a range of Machine Learning Projects, spanning from basic to advanced levels. It's designed to facilitate your learning journey and empower you to master Machine Learning.

microscopic-image-classification icon microscopic-image-classification

A Deep learning model that uses a latest architecture of CNN i.e ConvNextLarge which uses vision transformer , this model can classify any microscopic image with can accuracy of 90 % and above.

multiple-linear-regression-model- icon multiple-linear-regression-model-

This is a multiple linear regression model train on a dataset with 1993 datas for the prediction of polics requirement in a countryu based on its population and crime rate. The Accuracy of this Model is Above 90%

skin-cancer-detection icon skin-cancer-detection

Here , A latest CNN Architecture ConvNeXtLarge has been used to create an efficient model to classify various Skin Cancer Images in two classes Benign and Malignant. This model has the accuracy of 91% and AUC of 91% .

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