Debt Settlement Portal api design and implementation.

This project is based on Statistical Machine Translation. Word order in languages differs. Some classification can be done by naming the typical order of subject (S), verb (V) and object (O) in a sentence. Some languages have word orders as SOV. To solve the word-order problem between English language and Hindi language. We made rearrangement of English language words/phrases according

Technologies JavaScript (NodeJS, Express), GRPC, PostgreSQL

Technologies NodeJS, AWS-SNS, SES, Firebase, Express, PostgreSQL

Technologies HTML, CSS, ReactJS, NodeJS, MySQL, Redis, RabbitMQ, Docker

Technologies Python, Flask, MySQL, TCP/IP, Linux, Networking, NodeJs

Feasibility Evaluation, Impact Quantification and Mitigation of Low-rate Cyber Attacks on Multipath Transmission Control Protocol (MPTCP) Technologies MPTCP, Linux kernel Programming, Networking protocols and algorithms, Python (Flask, Scapy, Matplotlib)

Technologies and web link ReactJS https://www.limbic.in/ https://yogaclub.netlify.app/

Technologies Spring Boot, Angular, NodeJS, IoT devices, Google Map APIs, Embedded C

Title: Utilising an English Parser for Rearranging thewords/Phrases According to the Hindi Language.Technologies: J2SE, Statistical Machine Translation (NaturalLanguage Processing)

Title: A Darknet/Network Telescope Based Cyber Security Monitor InferenceFramework for IndiaTechnologies: NodeJs, Python, Flask, MySQL, TCP/IP, Linux, Networking