Rakshak - A Women Safety App
Presented by: Team WinRARiors
Rakshak is an AI-powered women’s safety app designed to provide security, awareness, and emergency response features, ensuring a safer digital and physical space for women.
Features
1️⃣ AI-Powered Gender Verification
Ensures Rakshak remains a women-exclusive platform.
Uses AI technology to verify gender during signup.
Eliminates unauthorized access to enhance privacy & security.
Tech Used: Pre-trained TensorFlow Lite model for gender detection.
2️⃣ WaySecure - Unsafe Zone Alerts
Highlights unsafe zones on maps in red.
Users can click on zones to see related crime news.
A “Report” button allows users to flag unsafe areas.
Real-time notifications & SMS alerts warn users entering unsafe zones.
Tech Used: Flutter OSM, Local Notifications, and SMS Packages.
3️⃣ SheConnect - Anonymous Location-Based Group Chats
Community chat system to share updates or seek help.
Anonymous group chats based on location.
Location sharing within chats for emergency assistance.
Tech Used: Firebase Database for chat storage & authentication.
4️⃣ Voice-Activated SOS
Sends instant SOS alerts using voice commands like "SOS," "Help," or "Bachao."
Sends real-time location via SMS to trusted contacts.
Hands-free emergency support for critical situations.
Tech Used: Text-to-Speech API, SQFLite (syncs contacts from device).
5️⃣ Database & Backend
Firebase Authentication for user login/signup.
Firestore Database for storing user-reported unsafe zones & community chats.
Technologies Used
✅ Flutter (for UI & functionality) ✅ Firebase (Authentication, Firestore) ✅ TensorFlow Lite (Gender Verification) ✅ Flutter OSM (Map-based safety features) ✅ Text-to-Speech API (Voice-based SOS) ✅ Local Notifications & SMS Packages (Alerts & emergency response)
Created by, winRARiors:
1.Team Leader: Aayush V. Sadaye [https://github.com/Aayush-innovates]
2.Member 1: Prayag G. Upadhyaya [https://github.com/prayagupa23]
3.Member 2: Parth S. Salunke [https://github.com/sparth292]
4.Member 3: Deep M. Bandekar [https://github.com/deep-0613]