Women safety application

1. WOMEN’S SAFETY APP
Under the Guidance of:
Dr. A. Vijaya
Assistant professor
Student Name:
R. Haripriya
II MCA

2. Outline
OBJECTIVE
PROBLEM STATEMENT
EXISTING SYSTEM
PROPOSED SYSTEM
MODULES
ARCHITECTURE DIAGRAM
IMPLEMENTATION SCREENSHOT
CONCLUSION
FUTURE ENHANCEMENT

3. OBJECTIVE
• The Women Safety application is designed to provide immediate assistance and security to
women in distress. It enables users to share their real-time location with guardians.
• Additionally, the app features an SOS alert system that notifies nearby users, ensuring a quick
response and community support in emergencies.
• By integrating these safety measures, the application aims to enhance women's security and
provide a reliable emergency response system.

4. PROBLEM STATEMENT
• Traditional safety measures are often ineffective during emergencies.
• Manual methods like calling or messaging may not be practical in distress
situations.
• Fear, restricted movement, and lack of emergency access hinder quick
assistance.
• Absence of a structured safety system increases risks in critical situations.

5. EXISTING SYSTEM
• In the present scenario filing an FIR/complaint is a hectic task since
one must go through a very huge process for justice.
• In Kavalan App, the Alert send to police controller section which
take somewhile to take action.

6. PROPOSED SYSTEM
• This proposed application for the women safety modules app can share the
location for guardian
• User can register complaint online about any harassment by a single click.
• Use GPS Module present in the Mobile phones and Track the Location of
the user.

7. MODULES
Emergency Contact List: Users can manage emergency contacts by adding and
updating numbers.
Settings: Allows customization of contact categories and emergency services.
Emergency Services: A GPS location tracking system enables real-time location
sharing and emergency SMS alerts.
1. SOS Alert System: Users can generate a distress signal by shaking their phones,
which triggers a location-based emergency message to registered contacts.

8. DFD
Level 1
Level 2

9. SCREENSHOTS

12. CONCLUSION

13. FUTURE ENHANCEMENT
Future integrations include:
• AI-driven predictive analytics for high-risk areas.
• Voice Alerting
• Collaboration with local law enforcement agencies.