• Personalized Coupon Recommender: Analyzing the buying and visiting behavior of user data collected from msg/wallet. User pattern recognition with the help of time series predictions (RNN with LSTM/GRU] and recommend Store and coupon based on the User Pattern. Developed NER model based on Sequence Labeler(LSTM) and Encoder-Decoder with attention. To Handle Cold start problem we use NB model. NDS and Epsilon greedy algorithm used to recommend best store and coupon based on the interest of the… Show more • Personalized Coupon Recommender: Analyzing the buying and visiting behavior of user data collected from msg/wallet. User pattern recognition with the help of time series predictions (RNN with LSTM/GRU] and recommend Store and coupon based on the User Pattern. Developed NER model based on Sequence Labeler(LSTM) and Encoder-Decoder with attention. To Handle Cold start problem we use NB model. NDS and Epsilon greedy algorithm used to recommend best store and coupon based on the interest of the user. • Personalized TV Recommender: Personalized TV Program recommendation system based on user taste profile & current program similarities. Program similarities are built with the help of program name, short description & genre fields present in the EPG data. User taste profiles are generated based on the user watch history. Developed hybrid recommendation system with content based filter and collaborative filter.• Life Assistant[SMS Organizer]: Provides insight into user messages by organizing the messages into Finances, promotions, personal and travel. Extracted information like Ticket, Amount & Event. Reminder is set for the events. POS Tagger developed with Bi-LSTM model. Dependency Parser used to identify subject-object relationship. • Customer Review Sentiment Analysis: Analyzes the trend of customer view about the products. We are analyzing customer care professional notes so we can see trend of issues faced by customers, sentiment of customers etc. sentiment analysis model that helped improve sales and marketing strategies.• Android framework like webview and android application like RCS, Email & DRM. Show less

POS: POS (Point Of Sales) is a Hospitality Management solution designed to cater to every processing requirement of Retail Sector. It offers a customized platform that’s generic with interactive user interface & convenient to use.The key features of POS are: To provide a generic Hospitality Management solution for any type of Retail sector. To provide a 3-tier Software Product for online reservations. To provide an interactive user interface for easy operations.