Prabhjot Kour

Papers

Total Citations

H-Index

About

Prabhjot Kour is a rising researcher at the forefront of multimodal artificial intelligence, specializing in real-time object detection and speech-driven human-computer interaction. Her most-cited work, "An Integrated Framework for Real-Time Object Detection and Speech-Driven Interaction: Advancing Multimodal Human-Like Intelligence" (2025), has already garnered 6 citations, signaling its early impact in the field. Kour’s key contribution lies in developing a unified architecture that seamlessly fuses visual perception with natural language processing, enabling machines to interpret and respond to their environment with human-like fluidity. This framework addresses a critical gap in AI—bridging the divide between seeing and speaking—by integrating deep learning models for object recognition with speech synthesis and recognition modules. Her research holds transformative potential for assistive technologies, autonomous systems, and interactive robotics, where real-time, context-aware communication is essential. As a young investigator, Kour’s work exemplifies the next generation of intelligent systems that move beyond single-modality processing toward truly integrated, human-centric AI. With her innovative approach already attracting attention, Prabhjot Kour is a name to watch in the evolving landscape of multimodal machine intelligence.