Prithwish Raymahapatra's Projects
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% .
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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.
A repository to hacktoberfest
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Hacktoberfest Kolkata
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.
hacktober fest
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!
HacktoberFest - 2023 😎
Google IT Automation with Python Professional Certificate - Practice files
This is job recommendation system where the job profiles are displayed as per the requirement of the client . This platform is made by using Flask framework of python using NLP by BERT Model
A CRUD application using ASP .NET Core MVC
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
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.
MERN
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.
A Perfectly tunned Keras CNN VGG16 Architecture model that can classify any type of MRI image with and accuracy of above 95 %
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%
Repository totally dedicated to Hacktober Fest 2023, feel free to use it.
A assignment Repo for Backend Development @ Reelo
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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% .
A multinomial naive bayes model for spam email classifiation