• Chaithrashree C S
• Disha Rao
• Gowthami
• Shravith Padvetnaya
• Prof .Alwyn Edison Mendonca, Dr.Suresha D

Poor posture has become a prevalent issue in today’s sedentary work culture, leading to musculoskeletal disorders and long-term health concerns. This paper presents Posture Buddy, an intelligent system that provides real-time monitoring and feedback to encourage healthy sitting habits. The system utilizes MediaPipe’s pose estimation to identify key body landmarks such as the shoulders, spine, and hips, calculating angles to assess posture quality. To enhance accuracy, it integrates additional sensors for multimodal data collection. When poor posture is detected, users receive instant visual cues through an interactive interface, and if sustained beyond a set threshold, an auditory alert is triggered to prompt correction. Data on posture is securely stored using Firebase, enabling personalized tracking and analysis over time. Designed to be adaptable across workplaces, homes, and educational settings, Posture Buddy combines computer vision, sensor integration, and real-time user interaction to promote ergonomic well-being. Future enhancements may incorporate machine learning for improved posture classification and mobile platform support for broader accessibility.

Posture detection, Pose estimation, MediaPipe, Computer vision, Real-time monitoring, Machine Learning

"POSTURE BUDDY : A FRIENDLY COMPANION DESIGNED TO ASSIST YOU IN MAINTAINING HEALTHY POSTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.464-466, July-2025, Available :http://www.jetir.org/papers/JETIRGX06087.pdf

"POSTURE BUDDY : A FRIENDLY COMPANION DESIGNED TO ASSIST YOU IN MAINTAINING HEALTHY POSTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp464-466, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06087.pdf