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Siddharth Pampana's Projects

apidashboard icon apidashboard

The app fetches the data from an API provided by the company and displays filtered data. The search include the keyword of the API. Assigned by Siciliamia an Italy company before internship.

breast_cancer_detection icon breast_cancer_detection

Developed a model to detect and recognize breast cancer using deep learning. Aims to help the department that strives to provide breast cancer in its early stages which ultimately helps them to diagnose the cancer as early as possible. CNN (convolutional neural networks) in deep learning. This project is based on how accurate a CNN model can be in detecting breast cancer. The model we have implemented is RESNET 9 in Py-torch. So firstly the Xray images of beasts are taken as inputs well analyses the data and implemented Resnet model.The data set we have taken it consists of 3 types of breast cancer benign, malignant and normal.

covid-19-tracker-2.0 icon covid-19-tracker-2.0

Developed a fully functioning Covid 19 Statistics application that fetches data from disease.sh APIs. This web application also uses two major components to render the real-time world Map and the stats chart to demonstrate the increase in Covid 19 cases. The map component is from an open source Java script library called Leaflet and the chart component if from a source called Chart js.

messenger_clone_reactjs_deploy icon messenger_clone_reactjs_deploy

Fully functioning Messenger Clone using React JS, Firestore from Firebase. The web application receives real-time data as an user with the url types in a message and displays it all across.

richpanelassignment icon richpanelassignment

Designed and developed ReactJs web Application with Stripe gateway integration. This App uses MongoDB as a backend and Express JS middleware

ui-ux-build icon ui-ux-build

Designed animated `Explore-SRM AP` website without usage of CSS built-in frameworks.

whatsappweb-mern-structure icon whatsappweb-mern-structure

Developed a whatsapp mern structure and working using the major stack MERN. The functioning and message transfer is purely demonstrated in the webapp.

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