MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202641100476 A) filed by Dr. Nitu Ghosh; Prof. Nisha Francis; Dr. Fazeelath Tabassum; Dr. Reshma K. J.; Dr. Mallika B K; Dr. Anitha Kumari B; Dr. Grace Hemalatha; Dr. Navin Vijay Orlando; Ms. Trisha Som; and Dr. Anubha Srivastava on August 20, 2026, for Machine Learning-Based Employee Experience Assessment Device With Emotracker.
Inventors include Dr. Nitu Ghosh; Prof. Nisha Francis; Dr. Fazeelath Tabassum; Dr. Reshma K. J.; Dr. Mallika B K; Dr. Anitha Kumari B; Dr. Grace Hemalatha; Dr. Navin Vijay Orlando; Ms. Trisha Som; and Dr. Anubha Srivastava.
The application for the patent was published on August 28, 2026, under issue no. 35/2026.
Abstract: ABSTRACT TITLE: MACHINE LEARNING-BASED EMPLOYEE EXPERIENCE ASSESSMENT DEVICE WITH EMOTRACKER The present invention discloses a machine learning-based employee experience assessment device, referred to as Emotracker (100), that continuously evaluates, predicts, and improves employee experience within organizations. The device (100) integrates a data acquisition module (110) collecting heterogeneous data from surveys, workplace interactions, attendance, productivity, communications, wellness, learning activities, and environmental sensors. A machine learning analytics engine (120) identifies behavioural patterns, engagement levels, stress indicators, and attrition risks using deep learning and ensemble models. A predictive analytics engine (130) performs time-series analysis and real-time stream processing. A recommendation engine (140) generates personalized interventions including training, wellness initiatives, workload balancing, and career development. A cloud- connected dashboard (150) presents visual ana
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