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Akshit Panapuzha's Projects

dataimporterservice icon dataimporterservice

A Windows service that receives data from the MedicalUI project and stores it into a local database. That data is sorted into respective tables and is then given an ID through Microsoft SQL Server Management Studio 18.

getimageapiservice icon getimageapiservice

This WebAPI service will allow you to receive the transported images in base64 string and convert to original image.

imagetransfer icon imagetransfer

This will help you to send an image in base 64 string format to a remote location

ipfs-ethereum icon ipfs-ethereum

IPFS web browser application to use in conjunction with blockchain for CSUSM CS452 Computer Security.

math_garden icon math_garden

A web application created by my group for CS 497 Deep Learning that uses libraries in deep learning to asses the hand drawing answer of a simple mathematics problem and brings back a prediction based on given data.

medicaldataui icon medicaldataui

A simple UI that collects information [claim, claimant, provider, bill] from user in Window's forms and connects to a windows service, "Data Importer Project," to send that information to a local database.

meet_your_prof icon meet_your_prof

A website application for professors to upload syllabus and their previous and current work resumes for incoming students.

self-driving-car-simulation icon self-driving-car-simulation

A simulation that allows user to create a path using their mouse, in which a car with 3 sensors will path its way through, learning through a Markov Decision Process and keeps adjusting weights as it hits positive and negative rewards.

skin-burn-detection icon skin-burn-detection

A study on the use of the Faster RCNN R101 R101 FPN model within the Facebook detectron2 model zoo on the analysis of the detection of multiple levels of burn injuries within the same image with the use of an augmented dataset for training.

ucsdmachinelearning icon ucsdmachinelearning

Harness machine learning to predict stock price trends. Train a powerful model using scikit-learn and Gradient Boosting Regression. Input historical stock data for accurate predictions of days from start date. Elevate your decisions with data-driven insights.

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