Virtual Mouse Control Using Hand Gesture by Using Open CV

Authors- Pulluru Saathvika, Chennareddy Monika, Dr. Anumolu Lasmika, Dandu Harsha Vardhan, Veluru Purandhar

Abstract-– This research analyzes vehicle accident trends to enhance road safety, with a focus on implications for Maharashtra. Using a global Kaggle dataset, the study employs Python, Django, and Bootstrap for data cleaning, trend analysis, and visualization. Key findings show that higher speeds and adverse weather increase accident severity, while larger vehicles and curved roads contribute to frequent incidents. In Maharashtra’s context, these trends align with challenges like congested urban roads and monsoon-related accidents. Visualizations (pie charts, bar graphs, heatmaps) highlight actionable patterns. The study proposes Maharashtra-specific policy interventions, such as improved road signage and monsoon preparedness, laying a foundation for real-time and predictive safety systems.

DOI: /10.61463/ijset.vol.13.issue2.336