Abhishek bejavada

Master of Science in Information Technology

2020 - 2022

School of IT, Jawaharlal Nehru Technological University, Hyderabad

Bachelor of Technology(B.Tech) in Computer Science & Engineering

2016 - 2020

Ace Engineering College

Expense Tracker

Technology Used: XML, Android, Java

Led a team of 3. Worked on the coding part for tracking the Expenses. Used Java Programming to track the Expenses. The main goal of the application is to manage the user’s daily expenses in a more efficient way. For manual calculations, it takes much time but using this application can reduce manual calculation errors. Additionally, we can save our time.

Currency recognition system using image processing

Technology Used: Django, Python 3

Worked on Algorithms. We have designed a system that accurately identifies both the country of origin and the denomination of a given banknote. When compared with the crude algorithm of pixel by pixel comparison, our proposed algorithm is able to identify currency and denomination in an average of 5.3 seconds, which is a considerable improvement over the crude algorithm.

ChatBot for MSIT Website

Technology Used: Python, Rasa Framework, PostgreSQL, ReactJS

The goal of this Chatbot is to answer questions of the user with 100% clarity. Worked on the coding part. We have created Rasa Chabot and integrated it to sample React website. In addition to this, we have deployed our project in Google cloud platform.

Project GitHub Link : Chatbot

Project Presentation : Chatbot slides

Sprint-1

In this Sprint we mainly focused on how chatbot works and we picked rasa framework

Sprint-2

In this Sprint we mainly focused on Integrating rasa to a react website

Sprint-3

In this Sprint we collected the questions and answers and also we converted them into Yaml format. Additionally we stored the data using Mysql of user who had conversation in our chatbot

Sprint-4

In this Sprint we Added entities to the intents and maintained dialogue flow using path

Sprint-5

In this Sprint we integrated rasa chatbot to Whatsapp, Telegram, and Slack

Sprint-6

In this Sprint we worked on NodeJS, using NodeJS we fetched the PostgreSQL data into Dashboard page of React

Sprint-7

In this Sprint we worked on deployment, using Google Cloud Platform we deployed our website

Sprint-8

In this Sprint we worked on error detection and we resolved errors