{"repo":"LiteralKrishu/SafeCity","free":true,"listed":false,"github":"https://github.com/LiteralKrishu/SafeCity","clone":"git clone https://github.com/LiteralKrishu/SafeCity.git","description":"SafeCity is an intelligent safety monitoring application designed to detect real-time distress through audio, visual, motion, and contextual signals. Using modern web technologies and AI inference models, the system provides tiered safety alerts that escalate automatically when signs of distress are detected.","language":"HTML","stars":17,"topics":["blazepose","facemesh","mediapipe","postgresql","react","tensorflow","twilio","wav2vec2"],"license":"MIT","category":"machine-learning","readme_excerpt":"SafeCity SafeCity is a native Expo personal-safety app with its audio model, motion analysis, pattern matching and temporal fusion bundled in the Android/iOS app. Monitoring inference runs on the user’s phone without a laptop, Docker service, internet connection or cloud API. Continuous video analysis has been removed. A rolling 15-second pre-alert audio snapshot stays in RAM and is discarded unless an SOS is confirmed. Confirmed incidents can encrypt that WAV snapshot plus one rear photo, one front photo, and 15 seconds of post-SOS audio with AES-GCM in app-private storage. SafeCity is an assistive prototype. It cannot guarantee detection, message delivery, emergency response, or personal safety. Do not use it as the only way to obtain help. What changed - Replaced the Streamlit web UI and Kivy prototype with an Expo SDK 57 iOS/Android app. - Removed YOLO, MediaPipe, all video-detection code, and the bundled video model assets. - Replaced single-frequency scream rules and random location risk with an APK-bundled YAMNet Lite classifier, measured motion features, deterministic safety patterns, and temporal fusion. - Added SQLCipher-encrypted local metadata and AES-GCM-encrypted evidence files. - Added consent, permission health, emergency contacts, monitoring sessions, sensor health, tiered alert states, local history, false-alarm feedback, and deletion. The current all-permission onboarding gate remains an audit finding. - Added adaptive on-device inference cadence, an in-mem","default_branch":null,"files":null,"tree":[],"storefront":"/r/LiteralKrishu","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/LiteralKrishu/SafeCity/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}