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Emergency alert application developed for android operating system to send emergency alerts to nearby users, authorities and emergency contacts, along with real-time location and relevant medical information with an easy to access and reliable alert button.
GuardAurora is an AI-powered safety app that detects potential threats, shares real-time location, and automatically alerts trusted contacts to protect girls and children in dangerous situations.
This project presents a Smart Wearable Medical Device (SWMD) – an IoT-based hand-band designed for critical care Alzheimer's patients. It features real-time GPS tracking, fall detection with caregiver alerts, emergency alert functionality, and monitoring of vital biomarkers, utilizing Firebase for data storage and synchronization.
The GPS that turns on automatically when you get in your car. AutoGPS detects Bluetooth and/or Android Auto to enable and disable GPS automatically and save your parking location. No cloud, no tracking, no wasted battery. One less thing to worry about.
IoT-ISAS is a simulated industrial security and access control system developed as an undergraduate IoT project. Centered on a fictional scenario at Ireland’s chip fab in Leixlip, it models personnel tracking, role-based access, emergency alerts, and maintenance scheduling using mock IoT devices and real-time data visualization via a dashboard.
Modular Computer Vision project for hand gesture recognition, sign language interpretation, and air-writing with integrated text-to-speech and automated emergency email alerts.
MetaSafe Guardian is an AI-powered safety monitoring platform that detects harmful behavior and protects users in virtual environments. It provides real-time incident tracking, safe-zone management, and emergency SOS support. The platform uses analytics and voice/text analysis to create safer digital communities.
FOTLOW is a wearable emergency security system that detects motion-based threats using pressure sensors in footwear, leveraging BLE, LoRaWAN, and real-time analytics to send alerts and ensure user safety.
An Android on-device AI application designed for the hearing impaired, providing real-time hazard detection and three-level haptic alerts. Developed as a capstone project at Dongyang Mirae University
Accident detection and emergency response system with live location sharing, Firebase integration, emergency SMS alerts, and real-time monitoring dashboard. demo vid eo link: https://youtu.be/Gph9slBnYnU
A Python-based offline voice assistant leveraging Vosk and Pyttsx3 to provide accessible emergency support, voice commands, and reminders for elderly users.