An AI-powered platform that analyzes resumes, extracts candidate skills, and generates personalized interview questions and model answers based on job requirements.
The Trip, Slip, and Fall Detection System is a real-time safety monitoring solution designed to detect human falls using deep learning and live tracking. Developed with an LSTM-based architecture, the model analyzes temporal features from video feeds to distinguish between normal movement and fall events such as trips and slips. The system is integrated with a shared tracker to enable continuous live monitoring and localization of individuals in the frame, providing instant alerts upon fall detection. This enhances situational awareness for security or medical personnel in sensitive environments like elderly care, workplaces, and public areas.
The Aggressive Behavior Detection System is a real-time monitoring and analysis platform designed to identify and track aggressive behavioral patterns. It provides a sophisticated dashboard interface for security personnel, healthcare professionals, or administrators to monitor and respond to potentially aggressive situations in various environments like healthcare facilities, public spaces, or educational institutions.
The Behavior Analysis Model is designed to detect aggressive actions in real-time from video footage. The primary goal of this project is to enhance security and safety by identifying violent behaviors such as fighting, pushing, and physical confrontations. By using Qwen2VL-2B, a Vision-Language Model. the system can analyze both visual and contextual cues to improve the accuracy of aggression detection. This model is optimized for real-time deployment on edge devices and surveillance systems, making it suitable for applications in public safety, workplace security
Real-time monitoring and analysis of aggressive behavior patterns using AI-powered detection for immediate threat identification.
Implements three-tier classification with confidence scoring for quick assessment and response prioritization.
Maintains detailed records with unique identifiers, timestamps, and descriptions for comprehensive incident tracking.
Features professional monitoring interface with real-time analysis and statistical overviews for efficient management.
Ensures secure data handling while maintaining detailed incident history for administrative review and planning.
