SafeSpace整合检测、警报与心理评估，守护数字安全与情绪健康。
SafeSpace: An Integrated Web Application for Digital Safety and Emotional Well-being
- 用NLP和Perspective API检测聊天与截图中的毒性内容。
- 缺勤或触发SOS时，通过邮件发送含位置的紧急警报，准确率100%。
- 结合问卷评估关系健康度，适合关注心理安全的用户使用。
在数字时代，人们日益面临网络暴力、操纵和诱骗等在线危害，常带来情感与安全风险。现有内容检测或安全警报系统多孤立运行，很少融合数字安全与情绪健康。本文提出SafeSpace，一个统一的Web应用，集成三个模块：(1) 使用NLP模型与Google Perspective API检测聊天和截图中的毒性内容；(2) 可配置的安全打卡系统，当未按时签到或手动触发SOS时，通过SMTP邮件发送含实时经纬度的位置警报；(3) 反思性问卷，评估关系健康与情绪韧性。系统基于Firebase管理警报，采用模块化设计以保障可用性、隐私与可扩展性。实验评估显示，毒性检测精度达93%，警报系统在模拟环境中可靠性为100%，问卷自动评分与人工评分一致性达92%。SafeSpace作为网页应用，验证了检测、防护与反思功能集成的可行性，未来计划部署为移动应用以提升可及性。
原文摘要 · Abstract (English)
In the digital era, individuals are increasingly exposed to online harms such as toxicity, manipulation, and grooming, which often pose emotional and safety risks. Existing systems for detecting abusive content or issuing safety alerts operate in isolation and rarely combine digital safety with emotional well-being. In this paper, we present SafeSpace, a unified web application that integrates three modules: (1) toxicity detection in chats and screenshots using NLP models and Google's Perspective API, (2) a configurable safety ping system that issues emergency alerts with the user's live location (longitude and latitude) via SMTP-based emails when check-ins are missed or SOS alerts are manually triggered, and (3) a reflective questionnaire that evaluates relationship health and emotional resilience. The system employs Firebase for alert management and a modular architecture designed for usability, privacy, and scalability. The experimental evaluation shows 93% precision in toxicity detection, 100% reliability in safety alerts under emulator tests, and 92% alignment between automated and manual questionnaire scoring. SafeSpace, implemented as a web application, demonstrates the feasibility of integrating detection, protection, and reflection within a single platform, with future deployment envisioned as a mobile application for broader accessibility.
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