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adminapp

A Full Stack Ecommerce Website using Java Spring Boot. Designed and developed microservices for admin application and customer application, following the microservices architecture principles. • Implemented key features such as user management, user authentication, product catalog, shopping cart, and payment processing.

amazon-clone

Amazon clone using React and Firebase.

client-server-based-automated-trading-system

A Client-Server Based Trading System is to be designed with the following specifications. There will be a set of traders who will trade with each other in the automated system. There will be a Server which will register requests from traders for buying and selling quantities of Items. The Server will also match the buy with the sell requests from different traders based on certain price rules (as listed below). Traders will log on to the trading system through the trading client (assume Trader ID and password is stored in a file). They will have the option to view the currently available items (for buy/sell), their quantities and their prices. They will also send requests for buying and selling items and specify the quantity and price. Traders will also have the option to view their matched trades at any time. There are ten known items which the traders can trade in with their codes from 1 to 10. There will be a maximum of 5 traders (with codes from 1 to 5) who can log on to the system and work. One trader should work from one client at a time only.

education-website-backend

Education Website using React, Node.js and MongoDB

education-website-frontend

Education Website using React, Node.js and MongoDB

experimental-operating-system-expos

eXpOS is built upon the XSM architecture. Architecture includes the specifications for the machine organisation, paging and interrupt handling and also provides the machine level instruction set. Implemented Process Management, Memory Management, User Management.

login-registration-backend

routing-in-networks

This projects helps to give the idea about the routing and forwarding in Computer Networks

speech-based-vowel-recognition-system

Real Time Automatic Speech Recognition System. Feature Extraction and Recognition are done using LPC (AutoCorrelation Method and Durbins Algorithm), Cepstral Coefficients. Used c++ language for implementing the system.

spring-notes

stock-assignment

Stock Trade Statistics Display Web Application using React, Node and Polygon API

transliteration-of-english-loanwords-and-named-entities-to-hindi

Used Machine Learning models Seqeseq Encoder Decoder using RNN, LSTM to predict Hindi word of a English Words.

user-profile-image-upload-aws