Tata Consultancy Services Limited

Rohit Kumar

Gautam Shroff

Puneet Kumar Agarwal

Viral Prakash Shah

Mayur Patidar

Prerna Khurana

Raman Srinivasan

Nawaz Mohammed Shaikh

Priyadharshini Sridhar

Swarna Srinivasan

Amit Nath

Rachit Bansal

Vikash Agarwal

Prateek Sachan

Radhika Ganesan

Vivek Bisht

Mahesh Prasad Singh

Ashish Chaudhary

Radhika Jayapaul

Systems and methods for Deep Learning techniques based multi-purpose conversational agents for processing natural language queries. The traditional systems and methods provide for conversational systems for processing natural language queries but do not employ Deep Learning techniques, and thus are unable to process large number of intents. Embodiments of the present disclosure provide for Deep Learning techniques based multi-purpose conversational agents for processing the natural language queries by defining and logically integrating a plurality of components comprising of multi-purpose conversational agents, identifying an appropriate agent to process one or more natural language queries by a High Level Intent Identification technique, predicting a probable user intent, classifying the query, and generate a set of responses by querying or updating one or more knowledge graphs.

Deep learning techniques based multi-purpose conversational agents for processing natural language queries

Systems and methods for secured computer based assessment are described. In one embodiment, the method comprises capturing of proctoring data at a candidate assessment device from a candidate at predefined time intervals during an examination. The proctoring data includes biometric data, still image, and surround sound associated with the at least one candidate. The proctoring data captured at the candidate assessment device is then transmitted to a central assessment server connected to the candidate assessment device. At the central assessment server, the proctoring data is compared with registration data, of the candidate, stored in the central assessment server. Based on the comparison, malpractice by the candidate during the examination is determined when the proctoring data deviates from the registration data.

Secured computer based assessment

The present invention relates to a system used for competency assessment of candidates. More particularly the present invention relates to an automated system for talent acquisition in an enterprise to identify talented candidates who meet the qualification standards specified by enterprise using a secured and light weight method of providing content including questions and responses in a distributed architecture. The data center server of the system may connect to Knowledge center server to receive the secure test content. The test content is transferred to one or more exam center servers from the data center server. The exam center servers assess the competency of candidates connected to them via candidate console devices (computational devices), by generating unique and standardized test content for each candidate. The system enables less effort, time and consequently money, that multiple test administrators may spend traveling to different test locations to support the system infrastructure.

System and method for automated competency assessment

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Noida, India

Rohit Kumar