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advanced-machine-learning

This repository contains all assignments and projects related to the UB CSE 674 Advanced Machine Learning Spring - 2019 course.

ai-healthcare-chatbot

see live demo of chatbot. follow the link

ai-healthcare-chatbot-1

Through a series of questions about symptoms it diagnosis the health condition of patient.

alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

angular-search-filter

Angular 13 SearchFilter examples using custom search pipes and Ng2SearchPipeModule

angular-todomanagement-app

Task management is the process of managing a task through its life cycle. You can manage your tasks easily using frontend: Angular, Backend: Spring Boot rest api.

async-await-demo-js

get data using async and await

authentication_app

Complete MERN app with React(frontend),ExpressJs rest api,MongoDB Atlas ,Firebase Deployement

create-excel-sheet-java

creating excel sheet from the list of objects.

cyber-awareness

My first website

daily-insurance-portal-fullstack

full stack application using angular and spring boot for rest api

data-structures-cpp

DSA CPP

di-frontend-angular

angular latest v2 frontend daily insurance portal

employeemanagementservice

rest api for managing employee data and corresponding address using spring boot.

employeemicroservice

face-lock-system

face-lock-system created using opencv.

fileprocessing-api

excel file crud operations using rest api, spring boot

healthcare-chatbot

Artificial enabled healthcare chatbot systems are used recognize the diseases based on most comman symptoms by interaction with machine. Healthcare chatbot system will also provide the possible medicine prescription.Artificial healthcare chatbot system uses neural networks for calculating the output from the given input using the repeated iterations while training the data after it will use natural language processing for understanding the human language. Artificial healthcare Chabot system can understand the text based input as well as voice interface to communicate with the patients.This system will be very useful because it can take the decisions faster and it will also reduce the cost charged by the doctor. Although it can’t replace the doctor but it will help to provide the treatment to the most common diseases. Artificial enabled Chabot system will ask the questions in the series about symptoms to diagnose thee health condition of the patients. It will reduce the cost of the diagnosis as compared to doctors without appointments. Artificial intelligence healthcare Chabot systems are revolutionary technology that is leading the way in transforming the medical diagnosis systems.

hello-spring

simple web app for testing

jabref

Graphical Java application for managing BibTeX and biblatex (.bib) databases

jmockito-practice

practice project with spring boot 3+ ,jdk 17 junit mockito framework

junitmockito

learn junit 5 , mockito ,assertJ library in simple examples

kafka-stream-data-demo

simple demo of kafka producer and consumer

master

microservices-dailyinsurance

mtb-movie-backend

spring boot 3.0.6 with authentication--no spring security jwt,mongo,kafka,elk,prometheus,grafana

myrestapi

all crud operations using spring boot

node-rest-api

rest api using node and express+ other js libraries

programming

c++ programming practice

rbp-react-mtb