MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621043378 A) filed by Dr. Neha Bharani; Ms. Neha Talreja; Neha Yadav; Kavita Soni; Dr. Manjeet Singh Teeth; and Ms. Ruchira Muchhal, Indore, Madhya Pradesh, on April 5, for 'hybrid work performance optimization system using ai-based monitoring framework.'
Inventor(s) include Dr. Neha Bharani; Ms. Neha Talreja; Neha Yadav; Kavita Soni; Dr. Manjeet Singh Teeth; and Ms. Ruchira Muchhal.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a hybrid work performance optimization system using an artificial intelligence-based monitoring framework for enhancing productivity in environments that combine remote and on-site work. The system comprises a data acquisition module configured to collect multi-source data including user activity, task execution, and communication patterns, and an AI-based monitoring engine configured to analyze the collected data using machine learning and behavioral analytics techniques. A performance evaluation module generates productivity metrics such as efficiency, engagement, and task completion rates, while an optimization engine provides actionable recommendations for improving workforce performance. The system further includes a feedback mechanism configured to continuously refine the AI models using adaptive learning techniques, enabling dynamic adjustment to changing work patterns. The invention provides a scalable, real-time, and privacy-aware solution that integrates monitoring, analysis, and optimization into a unified framework. By delivering predictive insights and automated decision support, the system improves operational efficiency and workforce productivity in hybrid work environments."
Disclaimer: Curated by HT Syndication.
