Zeva is Zensar’s voice-based enterprise personal assistant. With features of enterprise integration, email integration, and Google search integration. Zeva has an in-built self-learning capability based on its usage pattern. Built on an AI-based Q&A system, Zeva maintains context in the conversation using voice authentication and offline speech features.
Implemented a social distancing tracker using Computer Vision (CV) to track the violation of social distancing norms. It requires a one-time calibration step. IDs of people violating the norms get logged in the SQL database.
Implemented an image similarity solution for a major UK based retail client. Multiple algorithms were built, tested, and compared based on accuracy, response time, and match rate for various image transformations.