Pedapati Sai Geethika

Kalasalingam Academy of Research and Education

Papers

Total Citations

H-Index

About

Pedapati Sai Geethika’s research focuses on assistive technology and autonomous systems, particularly at the intersection of computer vision and human-centered design. Her most-cited work, “Autonomous Obstacle and Object Detection for Visually Impaired With Audio Aid” (2023, 6 citations), introduces a real-time system that combines machine learning and deep learning to detect obstacles and objects, then conveys this information through audio feedback. This contribution addresses a critical need for visually impaired individuals, offering a practical, low-cost solution that enhances mobility and safety. By integrating object recognition with audio aids, Geethika’s work demonstrates how advanced AI techniques can be deployed in accessible, real-world applications—from autonomous navigation to security tracking. Her research not only advances the field of computer vision but also underscores the potential of technology to bridge gaps in accessibility. With a growing citation count and a focus on impactful, socially relevant problems, Geethika is emerging as a promising voice in assistive robotics and intelligent systems, inspiring further innovation in inclusive design and autonomous assistance.