Kutluhan Aktar / AI-driven BLE Travel Emergency Assistant
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
About this project
This object detection (FOMO) model detects customized keychains (tokens) representing different emergencies:
After building my object detection model, I deployed my model as a fully optimized and customizable Arduino library and uploaded it to XIAO ESP32S3. Also, I developed an Android application from scratch to obtain the model detection results via BLE and transfer them to a web application in order to inform emergency contacts of the detected emergency class over WhatsApp and SMS via Twilio.