Here Is An AI-powered Chatbot To Answer Cricket Queries

Indian start-up develops new AI-powered chatbot solution to answer complex cricketing queries

Chennai based AI startup Roanuz has launched a AI-powered chatbot or virtual assistant, called Cricket Bot API, to offer you answers on cricket queries. The virtual voice assistant is powered by advanced context-aware conversational capabilities and can respond in 300 milliseconds

One can ask simple as well as complex questions to the AI-powered chatbot and can get instant answers. Questions like ‘When Dhoni is playing again?’ or ‘How many matches has South Africa won while playing at home? ‘ are some examples of questions that can be asked to the chatbot.

This AI-powered virtual assistant, programmed to give context-relevant answers in both text and voice, is capable of executing near-real-time exchange, increase user self-service efficiency and deliver smooth conversational customer experiences.

The bot addresses an exhaustive set of information, from live and historical data on matches to player and team stats. The data-intelligent API covers info related to all ICC Men’s International matches from 2012, Indian Premier League, Big Bash League, Caribbean Premier League, Pakistan Premier League, Bangladesh Premier League, Ram Slam T20 Challenge, Tamil Nadu Premier League, Karnataka Premier League, Women’s T20I Tri-Series, Kenyan Premier League until date, Champions League T20 and Big Bash League to name a few.

“Having a wide coverage of relevant information, the bot has the ability to respond to different topics such as player profile, recent matches, player vs. team, team vs. team and live updates,” explains Anto Binish Kaspar, Founder & CEO, Roanuz.

The team at Roanuz has processed over 1.2 million balls (12,15,814 to be exact) until now, which means the API has been fed with approximately 5-million records as an input for the bot to answer questions related to modern-day cricket. This one-of-a-kind intelligent bot with analytical capabilities is taking around 1,500 milliseconds to respond at present, and this time is expected to dwindle to 300 milliseconds.

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