Inspiration
Every woman deserves to feel safe, whether travelling, walking alone, or even at home. Growing reports of harassment, unsafe public areas, and delayed assistance inspired us to build a solution that reacts instantly when help is needed. Our motivation was to create a tool that equips women with real-time protection using artificial intelligence — something faster, smarter, and more reliable than traditional safety apps.
What it does
AI Smart Detection – Detects if a woman is alone, surrounded by strangers, or in a risky situation Automatic SOS – Sends emergency alerts if the user cannot act Wristband Trigger – One tap emergency activation
How we built it
- Combined AI + Mobile App + Wristband
We integrated AI models (YOLOv8, CNN, LSTM, STT) with an Android app and a Bluetooth wristband to detect danger, trigger SOS, and analyze surroundings automatically.
- Created a Real-Time Safety System
We built backend services using Firebase/Python to send emergency alerts, share live GPS location, store user data, and provide instant notifications during emergencies.
- Designed and Tested for Real Situations
We tested in different lighting, crowd conditions, and emergency scenarios to ensure reliability, low user interaction, accuracy, and smooth functioning in real-life safety situations.
Challenges we ran into
Reliability – Safety apps must work 100% of the time Accessibility – Not everyone can use complex smartphone apps
Accomplishments that we're proud of
Successfully integrated AI models like YOLOv8, CNN, and LSTM Built a real-time threat detection prototype Designed a wristband-based emergency trigger
What we learned
How to integrate multiple technologies—AI, mobile apps, BLE, GPS Importance of designing systems for real-life emergency behavior Ethical considerations while developing safety applications
What's next for SafeGuard
Launch a fully functional mobile app on Android & iOS Improve AI threat prediction using more training data Add smartwatch + IoT device support Introduce
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