Technologies involved: Java, AngularJS, Mysql, Ibatis, HTML, CSS, JQuery Team size: 2 Role: Full stack developer Clients: Flipkart, PhonePe, Starhealth Description: Ticketing tool is a hybrid solution of Issue tracking application along with the Calling application. We provide an online ticketing tool to the enterprises. An admin and agents login credentials are provided for them to login to the system. Agents login to our ticketing tool and our application will assign the tickets to agents based on pre-defined algorithms which were developed using Java. Once an agent gets selected for the ticket, ticket would be assigned to the agent and notified as a pop up on their screen. The agent has to start the ticket and work on the ticket. Agent can make a call to the customer if required using the dialer that is provided and then close the ticket. Dialer is developed using Asterisk framework. The admin and agent consoles of the application are designed using HTML, CSS, JQuery and AngularJS.
2017-1 - 2018-4
Technologies involved: Java, AngularJS, Mysql, Ibatis, HTML, CSS, JQuery Team size: 4 Role: Full stack developer Clients: Freshmenu, Squats, Flipkart, Abof, Limeroad Description: Ubona Dialer is a complete call center application developed for e-commerce concerns like Flipkart that includes Agent softphone, main application server and call server. Flipkart loads our application in Iframe. We will provide an admin login and individual login credentials for all the agents. Agents will be segregated into divisions called campaigns based on their skills. When agent logins to Flipkart CRM, he/she will get logged in to our main application server along with their call center server. Then, agent will be able to make outbound calls and get inbound calls using our application. Admin person would be able to monitor the overall performance of the agents as well as campaigns using the dashboard provided. We have designed the UI part using HTML, CSS, JQuery and AngularJS. The backend application was developed in Java. Calls are managed by Asterisk framework.
2016-5 - 2018-4
Songs Recommendation Engine
Technologies involved: Java, Mysql, Ibatis, Rocksdb, Rest Team size: 2 Role: Software developer Clients: Vodafone, Airtel, Aircel Description: Recommendation engine (one of the concepts in Artificial Intelligence) is a data filtering tool that make use of algorithms and data to recommend the most relevant items to a particular user. It is a perfect marketer tool especially for e-commerce / online businesses and is very useful to increase turn around (sales, profits etc.) Our RE application is a Java Application that recommends songs to the user based on different user attributes like User action, User’s history, User’s revenue for the company, age, gender etc. Recommendation Engines work ideally in one of two ways. Analysis of the properties of the items that a user likes, or it can rely on the likes and dislikes of other users. It uses hybrid kind of recommendation i.e item – item, user – user recommendation. Backend database is maintained using Rocksdb, Leveldb and Mysql.